makeRdsSample: Generate a synthetic (simulated) RDS sample.
In chords: Estimation in Respondent Driven Samples
Description
Usage
Arguments
Value
Note
References
See Also
Examples
Description
Generates a sample from the sampling process assumed in the reference.
Well, actually, only the sufficient statistics required by Estimate.b.k are returned.
Usage
1
makeRdsSample(N.k, b.k, sample.length)
Arguments
N.k
An integer vector with the population frequency of each degree.
b.k
A numeric vector of the sampling rates of each degree.
sample.length
The length of the sample. Specified as the number of recruitees before termination.
Value
An object of class rds-object suitable for applying Estimate.b.k.
Note
The simulator does not prodice a whole RDS sample, but rather the sufficient statistics required for applying Estimate.b.k.
References
[1] Berchenko, Y., Rosenblatt J.D., and S.D.W. Frost.
"Modeling and Analyzing Respondent Driven Sampling as a Counting Process."
arXiv:1304.3505
See Also
Examples
1
2
3
4
5
6
7
8
9
10
11
12
13
# Generate data:
true.Nks <- rep(0,100); true.Nks[c(2,100)] <- 1000
theta <- 1e-1
true.log.bks <- rep(-Inf, 100);true.log.bks[c(2,100)] <- theta*log(c(2,100))
sample.length <- 1000L
rds.simulated.object <- makeRdsSample(
N.k =true.Nks ,
b.k = exp(true.log.bks),
sample.length = sample.length)
# Estimate:
Estimate.b.k(rds.object = rds.simulated.object )
chords:::compareNkEstimate(rds.simulated.object$estimates$Nk.estimates, true.Nks)
Example output
$rds.sample
NS1 interviewDt
1 100 0.001172573
2 100 0.001759087
3 2 0.001895213
4 100 0.002009043
5 2 0.002086643
6 100 0.002116921
7 100 0.002192496
8 2 0.002230806
9 100 0.002266132
10 100 0.002266618
11 2 0.002269460
12 2 0.002308406
13 100 0.002339344
14 100 0.002395305
15 100 0.002400051
16 100 0.002434767
17 100 0.002444297
18 100 0.002469796
19 2 0.002472268
20 100 0.002508402
21 100 0.002535015
22 2 0.002538282
23 2 0.002566292
24 2 0.002579850
25 100 0.002593956
26 100 0.002620760
27 2 0.002623686
28 100 0.002669656
29 2 0.002675202
30 2 0.002697026
31 2 0.002713029
32 100 0.002731764
33 100 0.002746928
34 2 0.002755678
35 100 0.002765976
36 2 0.002767000
37 2 0.002771046
38 100 0.002771309
39 2 0.002772353
40 2 0.002785705
41 100 0.002787775
42 2 0.002788885
43 100 0.002789883
44 100 0.002805545
45 2 0.002813354
46 100 0.002817542
47 100 0.002818673
48 100 0.002819649
49 2 0.002841681
50 2 0.002851925
51 100 0.002861076
52 100 0.002861801
53 100 0.002866988
54 100 0.002888242
55 100 0.002894430
56 2 0.002894765
57 2 0.002898843
58 100 0.002899752
59 100 0.002904220
60 100 0.002916314
61 2 0.002918864
62 100 0.002919504
63 2 0.002941127
64 100 0.002943872
65 100 0.002944175
66 100 0.002944359
67 100 0.002951879
68 100 0.002962325
69 100 0.002967251
70 100 0.002967264
71 100 0.002968408
72 100 0.002973819
73 2 0.002974205
74 100 0.003012402
75 100 0.003012518
76 100 0.003025502
77 2 0.003026834
78 2 0.003032632
79 2 0.003034057
80 100 0.003038574
81 2 0.003039428
82 2 0.003043075
83 2 0.003043397
84 100 0.003052906
85 100 0.003060104
86 100 0.003062052
87 2 0.003063648
88 2 0.003068351
89 100 0.003069379
90 100 0.003073318
91 2 0.003077494
92 100 0.003077707
93 100 0.003080615
94 100 0.003081083
95 100 0.003106268
96 2 0.003111783
97 2 0.003113304
98 2 0.003114260
99 2 0.003115063
100 2 0.003124628
101 100 0.003124979
102 100 0.003125376
103 2 0.003126113
104 100 0.003130151
105 100 0.003130183
106 100 0.003132428
107 2 0.003141082
108 100 0.003144422
109 2 0.003147845
110 100 0.003151275
111 100 0.003159197
112 2 0.003171720
113 100 0.003175096
114 2 0.003175548
115 100 0.003195460
116 100 0.003195465
117 2 0.003200172
118 100 0.003204151
119 2 0.003206912
120 2 0.003214944
121 2 0.003217856
122 2 0.003219057
123 100 0.003221131
124 100 0.003222572
125 100 0.003223611
126 100 0.003223713
127 100 0.003228019
128 100 0.003229812
129 100 0.003249241
130 2 0.003251793
131 100 0.003252105
132 100 0.003256829
133 2 0.003258606
134 100 0.003259960
135 2 0.003260152
136 100 0.003262121
137 100 0.003265695
138 100 0.003266298
139 2 0.003270495
140 2 0.003278270
141 100 0.003283738
142 2 0.003289866
143 100 0.003292043
144 100 0.003293555
145 2 0.003294515
146 100 0.003296149
147 2 0.003296874
148 100 0.003297600
149 100 0.003303591
150 2 0.003303994
151 100 0.003305637
152 100 0.003305841
153 2 0.003306953
154 2 0.003307976
155 100 0.003308886
156 100 0.003310679
157 100 0.003317038
158 100 0.003317116
159 100 0.003319245
160 100 0.003320622
161 2 0.003322113
162 2 0.003323109
163 100 0.003325517
164 100 0.003332692
165 100 0.003342575
166 100 0.003342735
167 2 0.003345854
168 2 0.003346144
169 2 0.003350410
170 2 0.003352710
171 100 0.003353575
172 100 0.003355212
173 2 0.003356586
174 100 0.003358516
175 2 0.003358963
176 2 0.003363269
177 100 0.003363663
178 100 0.003364023
179 2 0.003364048
180 2 0.003365252
181 100 0.003366235
182 2 0.003371999
183 2 0.003375721
184 2 0.003376816
185 2 0.003377130
186 100 0.003378018
187 100 0.003379622
188 100 0.003381142
189 2 0.003382133
190 100 0.003387320
191 100 0.003392191
192 100 0.003392378
193 2 0.003395919
194 2 0.003398115
195 100 0.003402161
196 100 0.003403118
197 100 0.003404002
198 2 0.003406501
199 2 0.003407219
200 100 0.003409583
201 100 0.003411400
202 2 0.003414810
203 2 0.003417791
204 100 0.003419669
205 100 0.003421768
206 2 0.003423314
207 100 0.003424540
208 100 0.003425401
209 2 0.003425754
210 100 0.003428323
211 100 0.003431504
212 100 0.003431898
213 100 0.003432926
214 100 0.003436303
215 2 0.003439703
216 2 0.003442786
217 100 0.003443977
218 100 0.003445436
219 100 0.003447875
220 100 0.003447919
221 100 0.003449787
222 2 0.003452128
223 100 0.003459669
224 2 0.003461169
225 2 0.003463014
226 2 0.003464271
227 2 0.003465320
228 2 0.003468936
229 100 0.003470356
230 100 0.003470961
231 100 0.003471100
232 100 0.003471773
233 100 0.003472015
234 2 0.003472187
235 2 0.003472215
236 100 0.003473051
237 100 0.003474426
238 100 0.003476467
239 100 0.003478337
240 100 0.003478854
241 100 0.003484763
242 100 0.003484840
243 100 0.003485196
244 100 0.003487771
245 2 0.003488732
246 2 0.003489432
247 2 0.003489950
248 2 0.003490123
249 100 0.003490510
250 100 0.003491467
251 100 0.003492145
252 2 0.003494311
253 100 0.003496075
254 100 0.003498720
255 2 0.003500357
256 100 0.003500542
257 100 0.003501547
258 100 0.003505382
259 2 0.003507156
260 2 0.003512124
261 2 0.003512590
262 2 0.003512915
263 2 0.003517119
264 100 0.003521575
265 100 0.003524283
266 100 0.003525237
267 2 0.003527633
268 2 0.003528058
269 100 0.003530805
270 2 0.003531131
271 2 0.003532623
272 2 0.003534249
273 2 0.003535509
274 100 0.003538682
275 100 0.003539456
276 100 0.003540018
277 100 0.003541366
278 100 0.003544110
279 2 0.003544453
280 100 0.003544570
281 100 0.003545278
282 100 0.003546409
283 2 0.003546623
284 100 0.003547249
285 100 0.003547852
286 2 0.003548271
287 2 0.003549059
288 2 0.003549128
289 100 0.003552295
290 100 0.003563425
291 100 0.003568253
292 100 0.003571154
293 100 0.003573046
294 100 0.003573844
295 2 0.003574965
296 100 0.003576398
297 100 0.003576726
298 100 0.003576755
299 2 0.003578716
300 2 0.003579962
301 100 0.003580511
302 100 0.003582676
303 2 0.003582763
304 100 0.003583221
305 100 0.003583725
306 2 0.003583823
307 100 0.003584320
308 2 0.003589667
309 2 0.003590082
310 2 0.003591663
311 100 0.003593734
312 2 0.003594220
313 100 0.003595493
314 100 0.003596001
315 100 0.003596376
316 100 0.003598052
317 100 0.003600073
318 100 0.003600497
319 2 0.003606682
320 2 0.003608241
321 100 0.003610190
322 2 0.003610498
323 100 0.003611211
324 100 0.003616581
325 100 0.003617124
326 100 0.003618562
327 100 0.003618955
328 100 0.003622784
329 100 0.003625204
330 2 0.003626791
331 100 0.003627050
332 2 0.003628178
333 100 0.003628189
334 100 0.003628556
335 100 0.003630008
336 100 0.003630443
337 100 0.003630643
338 2 0.003631821
339 100 0.003632177
340 100 0.003632407
341 2 0.003636753
342 2 0.003638207
343 100 0.003640663
344 100 0.003640905
345 100 0.003641637
346 2 0.003643747
347 100 0.003646264
348 100 0.003646398
349 100 0.003647486
350 2 0.003651415
351 2 0.003654284
352 2 0.003655268
353 2 0.003655355
354 100 0.003656747
355 100 0.003657246
356 100 0.003657637
357 2 0.003658692
358 100 0.003658718
359 100 0.003659091
360 100 0.003659599
361 100 0.003659709
362 2 0.003660050
363 100 0.003660456
364 2 0.003660689
365 100 0.003661129
366 2 0.003662272
367 100 0.003662517
368 2 0.003665072
369 2 0.003665823
370 2 0.003668222
371 2 0.003669107
372 100 0.003669212
373 100 0.003671645
374 100 0.003676388
375 2 0.003678104
376 100 0.003678127
377 2 0.003678195
378 100 0.003678795
379 100 0.003680074
380 2 0.003680164
381 100 0.003680480
382 100 0.003681752
383 2 0.003682598
384 100 0.003682752
385 100 0.003682759
386 2 0.003683817
387 100 0.003684429
388 100 0.003685225
389 2 0.003687113
390 100 0.003687796
391 2 0.003688326
392 100 0.003688604
393 2 0.003689576
394 100 0.003690348
395 2 0.003691479
396 100 0.003691772
397 2 0.003692801
398 2 0.003694155
399 2 0.003698002
400 100 0.003698046
401 100 0.003698605
402 2 0.003699092
403 2 0.003699168
404 2 0.003699706
405 2 0.003701068
406 2 0.003703216
407 100 0.003703520
408 100 0.003704559
409 100 0.003706933
410 2 0.003707581
411 2 0.003709859
412 2 0.003712742
413 2 0.003718147
414 2 0.003718662
415 100 0.003719271
416 100 0.003719466
417 2 0.003720202
418 100 0.003720900
419 2 0.003723752
420 100 0.003727696
421 2 0.003729028
422 2 0.003729074
423 100 0.003733762
424 2 0.003734646
425 100 0.003737327
426 100 0.003737526
427 2 0.003739849
428 2 0.003739970
429 100 0.003744011
430 100 0.003744798
431 100 0.003746576
432 2 0.003749452
433 100 0.003752002
434 100 0.003754459
435 2 0.003754944
436 2 0.003758085
437 2 0.003758460
438 2 0.003760621
439 2 0.003760699
440 100 0.003761705
441 2 0.003762437
442 2 0.003763759
443 100 0.003764178
444 100 0.003766182
445 2 0.003766580
446 2 0.003766863
447 100 0.003768085
448 100 0.003768647
449 100 0.003769278
450 2 0.003769529
451 100 0.003769871
452 2 0.003770514
453 100 0.003771532
454 100 0.003772125
455 100 0.003773652
456 2 0.003774806
457 2 0.003777767
458 100 0.003778051
459 2 0.003778304
460 2 0.003778908
461 2 0.003779268
462 2 0.003779317
463 2 0.003780856
464 100 0.003782665
465 100 0.003784162
466 100 0.003785234
467 2 0.003786802
468 100 0.003787568
469 2 0.003787710
470 100 0.003788047
471 2 0.003788585
472 100 0.003788635
473 100 0.003789188
474 2 0.003789242
475 100 0.003790184
476 100 0.003791086
477 2 0.003793302
478 2 0.003793494
479 100 0.003794247
480 2 0.003795207
481 100 0.003795876
482 100 0.003796787
483 2 0.003798063
484 2 0.003800955
485 100 0.003801668
486 2 0.003802718
487 2 0.003804692
488 100 0.003806174
489 100 0.003806588
490 2 0.003806609
491 100 0.003808327
492 100 0.003808719
493 2 0.003808734
494 100 0.003808793
495 2 0.003808933
496 100 0.003809275
497 100 0.003810456
498 2 0.003813273
499 100 0.003813299
500 2 0.003813592
501 100 0.003814131
502 100 0.003815348
503 100 0.003815901
504 100 0.003816763
505 2 0.003816925
506 2 0.003817351
507 2 0.003817454
508 100 0.003817860
509 2 0.003818560
510 2 0.003820342
511 100 0.003823064
512 100 0.003824564
513 100 0.003827292
514 100 0.003828529
515 2 0.003831819
516 2 0.003833040
517 100 0.003833918
518 100 0.003834321
519 100 0.003835361
520 2 0.003835781
521 2 0.003837260
522 100 0.003838771
523 100 0.003838799
524 2 0.003840059
525 100 0.003841296
526 2 0.003841884
527 2 0.003842172
528 100 0.003842256
529 100 0.003842683
530 2 0.003843487
531 100 0.003843861
532 100 0.003844944
533 100 0.003849481
534 2 0.003849733
535 100 0.003851019
536 100 0.003851110
537 100 0.003851870
538 2 0.003852307
539 2 0.003853008
540 2 0.003853017
541 2 0.003853654
542 2 0.003855735
543 2 0.003856457
544 2 0.003857625
545 2 0.003858222
546 2 0.003858587
547 100 0.003858636
548 100 0.003861478
549 100 0.003861530
550 100 0.003863418
551 100 0.003863602
552 100 0.003866663
553 2 0.003868052
554 100 0.003868373
555 2 0.003869918
556 100 0.003872331
557 100 0.003874206
558 2 0.003874744
559 2 0.003875819
560 2 0.003876039
561 2 0.003876093
562 2 0.003876934
563 2 0.003880575
564 100 0.003880780
565 100 0.003881424
566 2 0.003881466
567 100 0.003881856
568 2 0.003881889
569 2 0.003882314
570 100 0.003882387
571 100 0.003885841
572 2 0.003886636
573 2 0.003886696
574 2 0.003887248
575 2 0.003887690
576 100 0.003889128
577 100 0.003889828
578 100 0.003891460
579 100 0.003891780
580 100 0.003897628
581 100 0.003897649
582 2 0.003898859
583 100 0.003899425
584 100 0.003901191
585 100 0.003903527
586 100 0.003904159
587 100 0.003905433
588 100 0.003906123
589 2 0.003908327
590 100 0.003908715
591 100 0.003909235
592 2 0.003909493
593 100 0.003911189
594 2 0.003914728
595 100 0.003914999
596 2 0.003915998
597 100 0.003917034
598 2 0.003918906
599 100 0.003918908
600 2 0.003919953
601 2 0.003920095
602 100 0.003922929
603 100 0.003923833
604 2 0.003928177
605 100 0.003931140
606 100 0.003931218
607 100 0.003931427
608 2 0.003931758
609 2 0.003934752
610 2 0.003936372
611 100 0.003936474
612 2 0.003940259
613 100 0.003940952
614 100 0.003941508
615 100 0.003943874
616 100 0.003944042
617 2 0.003944287
618 100 0.003944720
619 2 0.003944867
620 2 0.003944895
621 2 0.003945110
622 100 0.003945724
623 2 0.003946194
624 100 0.003946491
625 100 0.003946498
626 2 0.003947175
627 2 0.003948151
628 100 0.003948349
629 100 0.003948972
630 100 0.003949393
631 100 0.003949667
632 2 0.003949913
633 100 0.003949944
634 100 0.003950573
635 100 0.003950817
636 100 0.003950899
637 100 0.003951133
638 100 0.003951313
639 2 0.003952467
640 100 0.003952470
641 2 0.003953049
642 2 0.003954047
643 2 0.003954354
644 2 0.003955445
645 2 0.003955530
646 100 0.003957302
647 100 0.003958350
648 100 0.003958700
649 100 0.003960108
650 2 0.003960160
651 100 0.003960524
652 2 0.003960719
653 2 0.003962200
654 2 0.003962882
655 2 0.003964198
656 2 0.003966192
657 100 0.003966376
658 100 0.003966965
659 2 0.003967123
660 100 0.003968356
661 100 0.003968630
662 2 0.003969174
663 2 0.003970525
664 100 0.003970672
665 100 0.003972152
666 100 0.003972239
667 100 0.003972370
668 2 0.003973061
669 2 0.003973892
670 2 0.003973897
671 100 0.003974767
672 2 0.003978861
673 100 0.003981485
674 2 0.003981796
675 2 0.003985930
676 100 0.003986865
677 100 0.003986964
678 2 0.003987026
679 2 0.003988187
680 100 0.003988510
681 100 0.003988598
682 2 0.003989070
683 2 0.003989565
684 2 0.003990093
685 100 0.003991748
686 100 0.003991932
687 2 0.003992661
688 100 0.003992726
689 2 0.003993241
690 100 0.003993432
691 100 0.003994941
692 100 0.003995158
693 2 0.003996221
694 2 0.003996680
695 2 0.003997542
696 2 0.003997676
697 100 0.003998356
698 100 0.003998960
699 100 0.004000060
700 100 0.004005808
701 100 0.004006017
702 100 0.004006089
703 2 0.004006754
704 100 0.004008028
705 2 0.004008114
706 100 0.004008317
707 100 0.004008959
708 100 0.004011743
709 100 0.004014689
710 2 0.004014735
711 100 0.004014814
712 2 0.004015204
713 100 0.004015935
714 100 0.004016122
715 100 0.004016487
716 100 0.004017995
717 100 0.004018393
718 2 0.004018692
719 2 0.004019002
720 100 0.004019212
721 2 0.004019815
722 2 0.004019944
723 100 0.004020048
724 2 0.004020458
725 100 0.004021790
726 2 0.004021981
727 2 0.004023207
728 100 0.004024222
729 100 0.004026183
730 100 0.004027458
731 2 0.004027537
732 100 0.004027945
733 100 0.004028693
734 2 0.004030561
735 100 0.004031388
736 100 0.004031408
737 2 0.004032728
738 2 0.004032838
739 100 0.004033418
740 100 0.004033838
741 100 0.004033881
742 100 0.004034404
743 2 0.004034664
744 2 0.004034713
745 100 0.004035149
746 100 0.004036052
747 100 0.004037266
748 100 0.004037581
749 100 0.004038306
750 100 0.004038584
751 2 0.004038594
752 2 0.004041708
753 2 0.004042401
754 100 0.004043134
755 2 0.004043266
756 2 0.004044889
757 2 0.004047091
758 100 0.004047928
759 100 0.004048267
760 2 0.004048628
761 100 0.004049203
762 100 0.004049914
763 2 0.004053470
764 100 0.004053948
765 2 0.004056239
766 100 0.004058782
767 100 0.004059501
768 100 0.004059525
769 100 0.004060510
770 2 0.004060982
771 100 0.004061069
772 2 0.004066634
773 2 0.004067339
774 2 0.004067564
775 2 0.004068842
776 100 0.004069803
777 100 0.004070181
778 100 0.004070430
779 2 0.004071572
780 100 0.004071597
781 2 0.004072064
782 100 0.004072215
783 100 0.004073802
784 2 0.004074783
785 100 0.004075412
786 100 0.004076020
787 100 0.004076655
788 2 0.004077807
789 100 0.004078117
790 2 0.004079260
791 2 0.004079527
792 100 0.004080049
793 2 0.004081416
794 2 0.004082543
795 2 0.004082559
796 100 0.004083022
797 100 0.004085135
798 2 0.004085221
799 100 0.004087202
800 2 0.004087457
801 100 0.004087671
802 2 0.004088313
803 100 0.004088364
804 100 0.004088387
805 100 0.004088564
806 100 0.004088670
807 2 0.004090225
808 100 0.004091981
809 2 0.004092124
810 100 0.004092407
811 100 0.004094317
812 2 0.004094648
813 100 0.004094825
814 100 0.004095090
815 100 0.004096407
816 2 0.004096583
817 2 0.004097488
818 2 0.004097581
819 2 0.004097693
820 2 0.004098168
821 100 0.004098525
822 2 0.004099249
823 2 0.004099274
824 100 0.004100130
825 2 0.004100936
826 2 0.004100995
827 2 0.004102127
828 100 0.004103492
829 100 0.004105436
830 2 0.004106016
831 100 0.004106099
832 100 0.004106771
833 100 0.004106861
834 100 0.004106888
835 100 0.004106922
836 100 0.004109073
837 100 0.004109186
838 100 0.004109471
839 100 0.004110640
840 2 0.004111781
841 100 0.004112496
842 100 0.004113154
843 100 0.004113237
844 100 0.004115133
845 100 0.004116338
846 100 0.004117650
847 2 0.004118144
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850 2 0.004121824
851 100 0.004122050
852 2 0.004124655
853 100 0.004124750
854 100 0.004124860
855 100 0.004125099
856 2 0.004126431
857 2 0.004128524
858 100 0.004129048
859 2 0.004130299
860 2 0.004131821
861 2 0.004132168
862 2 0.004132395
863 2 0.004132883
864 100 0.004133145
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866 2 0.004135322
867 100 0.004135796
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870 2 0.004136527
871 2 0.004136908
872 100 0.004136971
873 2 0.004137090
874 100 0.004137537
875 100 0.004137872
876 2 0.004138329
877 100 0.004140172
878 100 0.004142671
879 2 0.004144367
880 100 0.004144944
881 2 0.004145715
882 100 0.004146108
883 2 0.004147863
884 100 0.004148631
885 100 0.004150193
886 2 0.004150214
887 2 0.004150678
888 100 0.004151040
889 2 0.004151981
890 2 0.004152294
891 2 0.004152704
892 2 0.004153452
893 100 0.004154934
894 2 0.004155017
895 2 0.004155203
896 100 0.004155241
897 100 0.004156480
898 100 0.004156485
899 2 0.004156725
900 100 0.004157001
901 100 0.004157453
902 2 0.004157745
903 2 0.004159138
904 2 0.004159317
905 100 0.004160772
906 100 0.004161061
907 2 0.004161160
908 100 0.004161526
909 100 0.004162080
910 2 0.004162324
911 100 0.004163441
912 2 0.004163535
913 100 0.004164190
914 2 0.004164447
915 100 0.004164776
916 2 0.004167040
917 100 0.004167988
918 2 0.004168002
919 100 0.004170791
920 100 0.004172409
921 2 0.004173817
922 100 0.004174546
923 100 0.004175294
924 2 0.004175962
925 100 0.004177372
926 2 0.004178689
927 100 0.004180337
928 2 0.004181430
929 2 0.004181636
930 100 0.004182613
931 2 0.004184413
932 2 0.004184501
933 100 0.004184597
934 100 0.004184943
935 100 0.004185158
936 100 0.004185179
937 2 0.004185705
938 2 0.004185970
939 2 0.004189645
940 2 0.004190173
941 100 0.004190213
942 100 0.004191692
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944 2 0.004192230
945 2 0.004192307
946 100 0.004192653
947 100 0.004192691
948 2 0.004193377
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950 100 0.004194744
951 100 0.004195510
952 100 0.004195786
953 100 0.004198016
954 2 0.004198854
955 2 0.004198929
956 2 0.004199041
957 2 0.004199572
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960 2 0.004200162
961 100 0.004201233
962 100 0.004201842
963 100 0.004202575
964 100 0.004203724
965 2 0.004205480
966 100 0.004206033
967 2 0.004206734
968 100 0.004207660
969 2 0.004208399
970 100 0.004208590
971 2 0.004210471
972 100 0.004210906
973 100 0.004211849
974 2 0.004213523
975 2 0.004215195
976 2 0.004215392
977 2 0.004216578
978 2 0.004217324
979 2 0.004217526
980 2 0.004218777
981 2 0.004220301
982 2 0.004220368
983 100 0.004221576
984 100 0.004222527
985 2 0.004222798
986 100 0.004225315
987 2 0.004225483
988 100 0.004225653
989 100 0.004226789
990 2 0.004227553
991 2 0.004228105
992 100 0.004229461
993 100 0.004229659
994 2 0.004229664
995 2 0.004230639
996 100 0.004232161
997 2 0.004232166
998 2 0.004233042
999 2 0.004234034
1000 100 0.004235766
$I.t
[1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14
[15] 15 16 17 18 19 20 21 22 23 24 25 26 27 28
[29] 29 30 31 32 33 34 35 36 37 38 39 40 41 42
[43] 43 44 45 46 47 48 49 50 51 52 53 54 55 56
[57] 57 58 59 60 61 62 63 64 65 66 67 68 69 70
[71] 71 72 73 74 75 76 77 78 79 80 81 82 83 84
[85] 85 86 87 88 89 90 91 92 93 94 95 96 97 98
[99] 99 100 101 102 103 104 105 106 107 108 109 110 111 112
[113] 113 114 115 116 117 118 119 120 121 122 123 124 125 126
[127] 127 128 129 130 131 132 133 134 135 136 137 138 139 140
[141] 141 142 143 144 145 146 147 148 149 150 151 152 153 154
[155] 155 156 157 158 159 160 161 162 163 164 165 166 167 168
[169] 169 170 171 172 173 174 175 176 177 178 179 180 181 182
[183] 183 184 185 186 187 188 189 190 191 192 193 194 195 196
[197] 197 198 199 200 201 202 203 204 205 206 207 208 209 210
[211] 211 212 213 214 215 216 217 218 219 220 221 222 223 224
[225] 225 226 227 228 229 230 231 232 233 234 235 236 237 238
[239] 239 240 241 242 243 244 245 246 247 248 249 250 251 252
[253] 253 254 255 256 257 258 259 260 261 262 263 264 265 266
[267] 267 268 269 270 271 272 273 274 275 276 277 278 279 280
[281] 281 282 283 284 285 286 287 288 289 290 291 292 293 294
[295] 295 296 297 298 299 300 301 302 303 304 305 306 307 308
[309] 309 310 311 312 313 314 315 316 317 318 319 320 321 322
[323] 323 324 325 326 327 328 329 330 331 332 333 334 335 336
[337] 337 338 339 340 341 342 343 344 345 346 347 348 349 350
[351] 351 352 353 354 355 356 357 358 359 360 361 362 363 364
[365] 365 366 367 368 369 370 371 372 373 374 375 376 377 378
[379] 379 380 381 382 383 384 385 386 387 388 389 390 391 392
[393] 393 394 395 396 397 398 399 400 401 402 403 404 405 406
[407] 407 408 409 410 411 412 413 414 415 416 417 418 419 420
[421] 421 422 423 424 425 426 427 428 429 430 431 432 433 434
[435] 435 436 437 438 439 440 441 442 443 444 445 446 447 448
[449] 449 450 451 452 453 454 455 456 457 458 459 460 461 462
[463] 463 464 465 466 467 468 469 470 471 472 473 474 475 476
[477] 477 478 479 480 481 482 483 484 485 486 487 488 489 490
[491] 491 492 493 494 495 496 497 498 499 500 501 502 503 504
[505] 505 506 507 508 509 510 511 512 513 514 515 516 517 518
[519] 519 520 521 522 523 524 525 526 527 528 529 530 531 532
[533] 533 534 535 536 537 538 539 540 541 542 543 544 545 546
[547] 547 548 549 550 551 552 553 554 555 556 557 558 559 560
[561] 561 562 563 564 565 566 567 568 569 570 571 572 573 574
[575] 575 576 577 578 579 580 581 582 583 584 585 586 587 588
[589] 589 590 591 592 593 594 595 596 597 598 599 600 601 602
[603] 603 604 605 606 607 608 609 610 611 612 613 614 615 616
[617] 617 618 619 620 621 622 623 624 625 626 627 628 629 630
[631] 631 632 633 634 635 636 637 638 639 640 641 642 643 644
[645] 645 646 647 648 649 650 651 652 653 654 655 656 657 658
[659] 659 660 661 662 663 664 665 666 667 668 669 670 671 672
[673] 673 674 675 676 677 678 679 680 681 682 683 684 685 686
[687] 687 688 689 690 691 692 693 694 695 696 697 698 699 700
[701] 701 702 703 704 705 706 707 708 709 710 711 712 713 714
[715] 715 716 717 718 719 720 721 722 723 724 725 726 727 728
[729] 729 730 731 732 733 734 735 736 737 738 739 740 741 742
[743] 743 744 745 746 747 748 749 750 751 752 753 754 755 756
[757] 757 758 759 760 761 762 763 764 765 766 767 768 769 770
[771] 771 772 773 774 775 776 777 778 779 780 781 782 783 784
[785] 785 786 787 788 789 790 791 792 793 794 795 796 797 798
[799] 799 800 801 802 803 804 805 806 807 808 809 810 811 812
[813] 813 814 815 816 817 818 819 820 821 822 823 824 825 826
[827] 827 828 829 830 831 832 833 834 835 836 837 838 839 840
[841] 841 842 843 844 845 846 847 848 849 850 851 852 853 854
[855] 855 856 857 858 859 860 861 862 863 864 865 866 867 868
[869] 869 870 871 872 873 874 875 876 877 878 879 880 881 882
[883] 883 884 885 886 887 888 889 890 891 892 893 894 895 896
[897] 897 898 899 900 901 902 903 904 905 906 907 908 909 910
[911] 911 912 913 914 915 916 917 918 919 920 921 922 923 924
[925] 925 926 927 928 929 930 931 932 933 934 935 936 937 938
[939] 939 940 941 942 943 944 945 946 947 948 949 950 951 952
[953] 953 954 955 956 957 958 959 960 961 962 963 964 965 966
[967] 967 968 969 970 971 972 973 974 975 976 977 978 979 980
[981] 981 982 983 984 985 986 987 988 989 990 991 992 993 994
[995] 995 996 997 998 999 1000
$degree.in
[1] 100 100 2 100 2 100 100 2 100 100 2 2 100 100 100 100 100 100
[19] 2 100 100 2 2 2 100 100 2 100 2 2 2 100 100 2 100 2
[37] 2 100 2 2 100 2 100 100 2 100 100 100 2 2 100 100 100 100
[55] 100 2 2 100 100 100 2 100 2 100 100 100 100 100 100 100 100 100
[73] 2 100 100 100 2 2 2 100 2 2 2 100 100 100 2 2 100 100
[91] 2 100 100 100 100 2 2 2 2 2 100 100 2 100 100 100 2 100
[109] 2 100 100 2 100 2 100 100 2 100 2 2 2 2 100 100 100 100
[127] 100 100 100 2 100 100 2 100 2 100 100 100 2 2 100 2 100 100
[145] 2 100 2 100 100 2 100 100 2 2 100 100 100 100 100 100 2 2
[163] 100 100 100 100 2 2 2 2 100 100 2 100 2 2 100 100 2 2
[181] 100 2 2 2 2 100 100 100 2 100 100 100 2 2 100 100 100 2
[199] 2 100 100 2 2 100 100 2 100 100 2 100 100 100 100 100 2 2
[217] 100 100 100 100 100 2 100 2 2 2 2 2 100 100 100 100 100 2
[235] 2 100 100 100 100 100 100 100 100 100 2 2 2 2 100 100 100 2
[253] 100 100 2 100 100 100 2 2 2 2 2 100 100 100 2 2 100 2
[271] 2 2 2 100 100 100 100 100 2 100 100 100 2 100 100 2 2 2
[289] 100 100 100 100 100 100 2 100 100 100 2 2 100 100 2 100 100 2
[307] 100 2 2 2 100 2 100 100 100 100 100 100 2 2 100 2 100 100
[325] 100 100 100 100 100 2 100 2 100 100 100 100 100 2 100 100 2 2
[343] 100 100 100 2 100 100 100 2 2 2 2 100 100 100 2 100 100 100
[361] 100 2 100 2 100 2 100 2 2 2 2 100 100 100 2 100 2 100
[379] 100 2 100 100 2 100 100 2 100 100 2 100 2 100 2 100 2 100
[397] 2 2 2 100 100 2 2 2 2 2 100 100 100 2 2 2 2 2
[415] 100 100 2 100 2 100 2 2 100 2 100 100 2 2 100 100 100 2
[433] 100 100 2 2 2 2 2 100 2 2 100 100 2 2 100 100 100 2
[451] 100 2 100 100 100 2 2 100 2 2 2 2 2 100 100 100 2 100
[469] 2 100 2 100 100 2 100 100 2 2 100 2 100 100 2 2 100 2
[487] 2 100 100 2 100 100 2 100 2 100 100 2 100 2 100 100 100 100
[505] 2 2 2 100 2 2 100 100 100 100 2 2 100 100 100 2 2 100
[523] 100 2 100 2 2 100 100 2 100 100 100 2 100 100 100 2 2 2
[541] 2 2 2 2 2 2 100 100 100 100 100 100 2 100 2 100 100 2
[559] 2 2 2 2 2 100 100 2 100 2 2 100 100 2 2 2 2 100
[577] 100 100 100 100 100 2 100 100 100 100 100 100 2 100 100 2 100 2
[595] 100 2 100 2 100 2 2 100 100 2 100 100 100 2 2 2 100 2
[613] 100 100 100 100 2 100 2 2 2 100 2 100 100 2 2 100 100 100
[631] 100 2 100 100 100 100 100 100 2 100 2 2 2 2 2 100 100 100
[649] 100 2 100 2 2 2 2 2 100 100 2 100 100 2 2 100 100 100
[667] 100 2 2 2 100 2 100 2 2 100 100 2 2 100 100 2 2 2
[685] 100 100 2 100 2 100 100 100 2 2 2 2 100 100 100 100 100 100
[703] 2 100 2 100 100 100 100 2 100 2 100 100 100 100 100 2 2 100
[721] 2 2 100 2 100 2 2 100 100 100 2 100 100 2 100 100 2 2
[739] 100 100 100 100 2 2 100 100 100 100 100 100 2 2 2 100 2 2
[757] 2 100 100 2 100 100 2 100 2 100 100 100 100 2 100 2 2 2
[775] 2 100 100 100 2 100 2 100 100 2 100 100 100 2 100 2 2 100
[793] 2 2 2 100 100 2 100 2 100 2 100 100 100 100 2 100 2 100
[811] 100 2 100 100 100 2 2 2 2 2 100 2 2 100 2 2 2 100
[829] 100 2 100 100 100 100 100 100 100 100 100 2 100 100 100 100 100 100
[847] 2 2 100 2 100 2 100 100 100 2 2 100 2 2 2 2 2 100
[865] 2 2 100 100 2 2 2 100 2 100 100 2 100 100 2 100 2 100
[883] 2 100 100 2 2 100 2 2 2 2 100 2 2 100 100 100 2 100
[901] 100 2 2 2 100 100 2 100 100 2 100 2 100 2 100 2 100 2
[919] 100 100 2 100 100 2 100 2 100 2 2 100 2 2 100 100 100 100
[937] 2 2 2 2 100 100 2 2 2 100 100 2 2 100 100 100 100 2
[955] 2 2 2 100 2 2 100 100 100 100 2 100 2 100 2 100 2 100
[973] 100 2 2 2 2 2 2 2 2 2 100 100 2 100 2 100 100 2
[991] 2 100 100 2 2 100 2 2 2 100
$degree.out
[1] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[223] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[260] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[297] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[334] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[371] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[408] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[445] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[482] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[519] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[556] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[593] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[630] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[667] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[704] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[741] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[778] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[815] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[852] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[889] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[926] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[963] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[1000] 0
$original.ordering
NULL
$estimates
$estimates$call
estimate.b.k(rds.object = rds.object, type = "mle")
$estimates$Nk.estimates
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16
0 1152 0 0 0 0 0 0 0 0 0 0 0 0 0 0
17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
97 98 99 100
0 0 0 905
$estimates$log.bk.estimates
[1] NA -0.0677631 NA NA NA NA
[7] NA NA NA NA NA NA
[13] NA NA NA NA NA NA
[19] NA NA NA NA NA NA
[25] NA NA NA NA NA NA
[31] NA NA NA NA NA NA
[37] NA NA NA NA NA NA
[43] NA NA NA NA NA NA
[49] NA NA NA NA NA NA
[55] NA NA NA NA NA NA
[61] NA NA NA NA NA NA
[67] NA NA NA NA NA NA
[73] NA NA NA NA NA NA
[79] NA NA NA NA NA NA
[85] NA NA NA NA NA NA
[91] NA NA NA NA NA NA
[97] NA NA NA 0.6038145
$estimates$A.ks
[1] NA 0.5210925 NA NA NA NA NA
[8] NA NA NA NA NA NA NA
[15] NA NA NA NA NA NA NA
[22] NA NA NA NA NA NA NA
[29] NA NA NA NA NA NA NA
[36] NA NA NA NA NA NA NA
[43] NA NA NA NA NA NA NA
[50] NA NA NA NA NA NA NA
[57] NA NA NA NA NA NA NA
[64] NA NA NA NA NA NA NA
[71] NA NA NA NA NA NA NA
[78] NA NA NA NA NA NA NA
[85] NA NA NA NA NA NA NA
[92] NA NA NA NA NA NA NA
[99] NA 0.5210925
$estimates$B.ks
[1] NA 124.7737 NA NA NA NA NA NA
[9] NA NA NA NA NA NA NA NA
[17] NA NA NA NA NA NA NA NA
[25] NA NA NA NA NA NA NA NA
[33] NA NA NA NA NA NA NA NA
[41] NA NA NA NA NA NA NA NA
[49] NA NA NA NA NA NA NA NA
[57] NA NA NA NA NA NA NA NA
[65] NA NA NA NA NA NA NA NA
[73] NA NA NA NA NA NA NA NA
[81] NA NA NA NA NA NA NA NA
[89] NA NA NA NA NA NA NA NA
[97] NA NA NA 167.2741
$estimates$n.k.counts
[1] NA 444 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
[19] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
[37] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
[55] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
[73] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
[91] NA NA NA NA NA NA NA NA NA 556
$estimates$arrival.intervals
[1] 5.865138e-04 1.361260e-04 1.138305e-04 7.760024e-05 3.027763e-05
[6] 7.557511e-05 3.831012e-05 3.532560e-05 4.858861e-07 2.842204e-06
[11] 3.894585e-05 3.093873e-05 5.596079e-05 4.745866e-06 3.471621e-05
[16] 9.529974e-06 2.549836e-05 2.472851e-06 3.613310e-05 2.661318e-05
[21] 3.266909e-06 2.801004e-05 1.355786e-05 1.410627e-05 2.680398e-05
[26] 2.926331e-06 4.597032e-05 5.545104e-06 2.182404e-05 1.600314e-05
[31] 1.873521e-05 1.516446e-05 8.749462e-06 1.029822e-05 1.024195e-06
[36] 4.045374e-06 2.629349e-07 1.044022e-06 1.335284e-05 2.069122e-06
[41] 1.110001e-06 9.984999e-07 1.566153e-05 7.809126e-06 4.187902e-06
[46] 1.131175e-06 9.761206e-07 2.203194e-05 1.024404e-05 9.150965e-06
[51] 7.246792e-07 5.187772e-06 2.125417e-05 6.187476e-06 3.345809e-07
[56] 4.078565e-06 9.090154e-07 4.467505e-06 1.209400e-05 2.549911e-06
[61] 6.402192e-07 2.162315e-05 2.745545e-06 3.023134e-07 1.837861e-07
[66] 7.520668e-06 1.044619e-05 4.925342e-06 1.372307e-08 1.143433e-06
[71] 5.411155e-06 3.859465e-07 3.819651e-05 1.160812e-07 1.298457e-05
[76] 1.331493e-06 5.798680e-06 1.424993e-06 4.517052e-06 8.540747e-07
[81] 3.646920e-06 3.213342e-07 9.509073e-06 7.198229e-06 1.947475e-06
[86] 1.596355e-06 4.703287e-06 1.027749e-06 3.939468e-06 4.175686e-06
[91] 2.130294e-07 2.908103e-06 4.680179e-07 2.518507e-05 5.514685e-06
[96] 1.520936e-06 9.558147e-07 8.031119e-07 9.565530e-06 3.502366e-07
[101] 3.978449e-07 7.365970e-07 4.037584e-06 3.195823e-08 2.245917e-06
[106] 8.653214e-06 3.340653e-06 3.422901e-06 3.429330e-06 7.922096e-06
[111] 1.252333e-05 3.376205e-06 4.519827e-07 1.991174e-05 4.971009e-09
[116] 4.706592e-06 3.979514e-06 2.761323e-06 8.031357e-06 2.912354e-06
[121] 1.201402e-06 2.073066e-06 1.441585e-06 1.038806e-06 1.025597e-07
[126] 4.305095e-06 1.793516e-06 1.942886e-05 2.552095e-06 3.124016e-07
[131] 4.723698e-06 1.777347e-06 1.353918e-06 1.915982e-07 1.969063e-06
[136] 3.574164e-06 6.025727e-07 4.196950e-06 7.774765e-06 5.468903e-06
[141] 6.127434e-06 2.176886e-06 1.512731e-06 9.592457e-07 1.634010e-06
[146] 7.251735e-07 7.257215e-07 5.990886e-06 4.038778e-07 1.643082e-06
[151] 2.035534e-07 1.111574e-06 1.023820e-06 9.099280e-07 1.792999e-06
[156] 6.358758e-06 7.833500e-08 2.128839e-06 1.376704e-06 1.490685e-06
[161] 9.963629e-07 2.407904e-06 7.175435e-06 9.882484e-06 1.599135e-07
[166] 3.119110e-06 2.898764e-07 4.265957e-06 2.300105e-06 8.650273e-07
[171] 1.637100e-06 1.374515e-06 1.929275e-06 4.467939e-07 4.306196e-06
[176] 3.943805e-07 3.603804e-07 2.500499e-08 1.203536e-06 9.824900e-07
[181] 5.764171e-06 3.722316e-06 1.094726e-06 3.144150e-07 8.876999e-07
[186] 1.603973e-06 1.520387e-06 9.911443e-07 5.186462e-06 4.871285e-06
[191] 1.871350e-07 3.540283e-06 2.196833e-06 4.045558e-06 9.568849e-07
[196] 8.842660e-07 2.499341e-06 7.177495e-07 2.363584e-06 1.817383e-06
[201] 3.409729e-06 2.980997e-06 1.877688e-06 2.099233e-06 1.546078e-06
[206] 1.226289e-06 8.608292e-07 3.531317e-07 2.568527e-06 3.181200e-06
[211] 3.942181e-07 1.028139e-06 3.377191e-06 3.400018e-06 3.083032e-06
[216] 1.191071e-06 1.458837e-06 2.439175e-06 4.386297e-08 1.867893e-06
[221] 2.340478e-06 7.541396e-06 1.500040e-06 1.845054e-06 1.257203e-06
[226] 1.048690e-06 3.615838e-06 1.420233e-06 6.044627e-07 1.395952e-07
[231] 6.724309e-07 2.422301e-07 1.719830e-07 2.829431e-08 8.354740e-07
[236] 1.375562e-06 2.041195e-06 1.869246e-06 5.169749e-07 5.909555e-06
[241] 7.688436e-08 3.558940e-07 2.575175e-06 9.609639e-07 7.003396e-07
[246] 5.174324e-07 1.731361e-07 3.867787e-07 9.575031e-07 6.780069e-07
[251] 2.165411e-06 1.764202e-06 2.644855e-06 1.637249e-06 1.847604e-07
[256] 1.005561e-06 3.834489e-06 1.774572e-06 4.968026e-06 4.656734e-07
[261] 3.249629e-07 4.204297e-06 4.455744e-06 2.707859e-06 9.536798e-07
[266] 2.396016e-06 4.258082e-07 2.746482e-06 3.256086e-07 1.492057e-06
[271] 1.626215e-06 1.260311e-06 3.173307e-06 7.732212e-07 5.625956e-07
[276] 1.347441e-06 2.743910e-06 3.434430e-07 1.172912e-07 7.074138e-07
[281] 1.131205e-06 2.139677e-07 6.256024e-07 6.037360e-07 4.189536e-07
[286] 7.876670e-07 6.912387e-08 3.167214e-06 1.112959e-05 4.827937e-06
[291] 2.901158e-06 1.892583e-06 7.971765e-07 1.121035e-06 1.432921e-06
[296] 3.287233e-07 2.881035e-08 1.961023e-06 1.245539e-06 5.489052e-07
[301] 2.165726e-06 8.667332e-08 4.580764e-07 5.040012e-07 9.838686e-08
[306] 4.961214e-07 5.347486e-06 4.153301e-07 1.580464e-06 2.070754e-06
[311] 4.861497e-07 1.272960e-06 5.085840e-07 3.750485e-07 1.675240e-06
[316] 2.021421e-06 4.237195e-07 6.184812e-06 1.559600e-06 1.949076e-06
[321] 3.081308e-07 7.129546e-07 5.369744e-06 5.433083e-07 1.437612e-06
[326] 3.928421e-07 3.829615e-06 2.419185e-06 1.587418e-06 2.593770e-07
[331] 1.127209e-06 1.113657e-08 3.674937e-07 1.451666e-06 4.354155e-07
[336] 1.991433e-07 1.178210e-06 3.567715e-07 2.296343e-07 4.345969e-06
[341] 1.454127e-06 2.455649e-06 2.420296e-07 7.318454e-07 2.110670e-06
[346] 2.516250e-06 1.341530e-07 1.087917e-06 3.929244e-06 2.869520e-06
[351] 9.838289e-07 8.627713e-08 1.392718e-06 4.981826e-07 3.912375e-07
[356] 1.055383e-06 2.541880e-08 3.735316e-07 5.081159e-07 1.101433e-07
[361] 3.410751e-07 4.054773e-07 2.326970e-07 4.400094e-07 1.143762e-06
[366] 2.446548e-07 2.554590e-06 7.510453e-07 2.399275e-06 8.851337e-07
[371] 1.051394e-07 2.432325e-06 4.743852e-06 1.715277e-06 2.353329e-08
[376] 6.783868e-08 5.995487e-07 1.279876e-06 8.971283e-08 3.156443e-07
[381] 1.272227e-06 8.461864e-07 1.537232e-07 6.827120e-09 1.058175e-06
[386] 6.124367e-07 7.960954e-07 1.887484e-06 6.828129e-07 5.303651e-07
[391] 2.778868e-07 9.717114e-07 7.726605e-07 1.130162e-06 2.930885e-07
[396] 1.029086e-06 1.353979e-06 3.847589e-06 4.349185e-08 5.596422e-07
[401] 4.867997e-07 7.570494e-08 5.383307e-07 1.362230e-06 2.147983e-06
[406] 3.036163e-07 1.038514e-06 2.373981e-06 6.482802e-07 2.278563e-06
[411] 2.882943e-06 5.404553e-06 5.149033e-07 6.095125e-07 1.942673e-07
[416] 7.359352e-07 6.981873e-07 2.851943e-06 3.944650e-06 1.331665e-06
[421] 4.606712e-08 4.687925e-06 8.840460e-07 2.680602e-06 1.989614e-07
[426] 2.323707e-06 1.205701e-07 4.040861e-06 7.876441e-07 1.777330e-06
[431] 2.876116e-06 2.549698e-06 2.457676e-06 4.843658e-07 3.141083e-06
[436] 3.751655e-07 2.161238e-06 7.837105e-08 1.005931e-06 7.321329e-07
[441] 1.321647e-06 4.188145e-07 2.004301e-06 3.980933e-07 2.826959e-07
[446] 1.222239e-06 5.622234e-07 6.304032e-07 2.511202e-07 3.417297e-07
[451] 6.430428e-07 1.018007e-06 5.935589e-07 1.526962e-06 1.154062e-06
[456] 2.960345e-06 2.839976e-07 2.528991e-07 6.043715e-07 3.599998e-07
[461] 4.916826e-08 1.538880e-06 1.808688e-06 1.497764e-06 1.071321e-06
[466] 1.568183e-06 7.661388e-07 1.415028e-07 3.374707e-07 5.382156e-07
[471] 4.992099e-08 5.523788e-07 5.482330e-08 9.414456e-07 9.018230e-07
[476] 2.216323e-06 1.916050e-07 7.535269e-07 9.602358e-07 6.688289e-07
[481] 9.111200e-07 1.275702e-06 2.891614e-06 7.129158e-07 1.050494e-06
[486] 1.973429e-06 1.482889e-06 4.131679e-07 2.123804e-08 1.718579e-06
[491] 3.914666e-07 1.532796e-08 5.883765e-08 1.403683e-07 3.421103e-07
[496] 1.180069e-06 2.817140e-06 2.652723e-08 2.931184e-07 5.386962e-07
[501] 1.217347e-06 5.527330e-07 8.614499e-07 1.620084e-07 4.259965e-07
[506] 1.038808e-07 4.059829e-07 6.991565e-07 1.782047e-06 2.722444e-06
[511] 1.500266e-06 2.728052e-06 1.236646e-06 3.289627e-06 1.221511e-06
[516] 8.776526e-07 4.033588e-07 1.039834e-06 4.204454e-07 1.478822e-06
[521] 1.510771e-06 2.763630e-08 1.260131e-06 1.236795e-06 5.885742e-07
[526] 2.877629e-07 8.424701e-08 4.266131e-07 8.043533e-07 3.739373e-07
[531] 1.082556e-06 4.536921e-06 2.518963e-07 1.286060e-06 9.140629e-08
[536] 7.598044e-07 4.374094e-07 7.006229e-07 9.536070e-09 6.366232e-07
[541] 2.081419e-06 7.213360e-07 1.168697e-06 5.968274e-07 3.644345e-07
[546] 4.962335e-08 2.842009e-06 5.143414e-08 1.888335e-06 1.835257e-07
[551] 3.061109e-06 1.389006e-06 3.210798e-07 1.544901e-06 2.413174e-06
[556] 1.875225e-06 5.378049e-07 1.074961e-06 2.202703e-07 5.360010e-08
[561] 8.417027e-07 3.640502e-06 2.054712e-07 6.437274e-07 4.219490e-08
[566] 3.896428e-07 3.302832e-08 4.248181e-07 7.320146e-08 3.453579e-06
[571] 7.958291e-07 5.953610e-08 5.521287e-07 4.420293e-07 1.437915e-06
[576] 7.000268e-07 1.632128e-06 3.195926e-07 5.847964e-06 2.153563e-08
[581] 1.210033e-06 5.658886e-07 1.765407e-06 2.336319e-06 6.317818e-07
[586] 1.273950e-06 6.901538e-07 2.204141e-06 3.877509e-07 5.200911e-07
[591] 2.577398e-07 1.696433e-06 3.539514e-06 2.704487e-07 9.992932e-07
[596] 1.035605e-06 1.872452e-06 1.406562e-09 1.045303e-06 1.424177e-07
[601] 2.833522e-06 9.045269e-07 4.343849e-06 2.962860e-06 7.748120e-08
[606] 2.091930e-07 3.315114e-07 2.993290e-06 1.620536e-06 1.019590e-07
[611] 3.784749e-06 6.930116e-07 5.558716e-07 2.365869e-06 1.679491e-07
[616] 2.454529e-07 4.330972e-07 1.471205e-07 2.726142e-08 2.159322e-07
[621] 6.133715e-07 4.703198e-07 2.969435e-07 6.552715e-09 6.777161e-07
[626] 9.761309e-07 1.972226e-07 6.233914e-07 4.205508e-07 2.740301e-07
[631] 2.462746e-07 3.067952e-08 6.290147e-07 2.444720e-07 8.185620e-08
[636] 2.337050e-07 1.802752e-07 1.153807e-06 3.527223e-09 5.787525e-07
[641] 9.977950e-07 3.069683e-07 1.091506e-06 8.479972e-08 1.771806e-06
[646] 1.047760e-06 3.507547e-07 1.407716e-06 5.194399e-08 3.637448e-07
[651] 1.952543e-07 1.480665e-06 6.821210e-07 1.316571e-06 1.993811e-06
[656] 1.840361e-07 5.891286e-07 1.571237e-07 1.233076e-06 2.747943e-07
[661] 5.432716e-07 1.351792e-06 1.465773e-07 1.479947e-06 8.736956e-08
[666] 1.301816e-07 6.916740e-07 8.308014e-07 5.157964e-09 8.696798e-07
[671] 4.093915e-06 2.624219e-06 3.104841e-07 4.134048e-06 9.352785e-07
[676] 9.940686e-08 6.149323e-08 1.161610e-06 3.222613e-07 8.826188e-08
[681] 4.725428e-07 4.947443e-07 5.279443e-07 1.655355e-06 1.836287e-07
[686] 7.293344e-07 6.469719e-08 5.150705e-07 1.906004e-07 1.509171e-06
[691] 2.172002e-07 1.062586e-06 4.592812e-07 8.618551e-07 1.344537e-07
[696] 6.796330e-07 6.041345e-07 1.100336e-06 5.747218e-06 2.089479e-07
[701] 7.246499e-08 6.644895e-07 1.274174e-06 8.619720e-08 2.032798e-07
[706] 6.414356e-07 2.784750e-06 2.945654e-06 4.614014e-08 7.904604e-08
[711] 3.900580e-07 7.304214e-07 1.875543e-07 3.648057e-07 1.508380e-06
[716] 3.976937e-07 2.989596e-07 3.095397e-07 2.106713e-07 6.030584e-07
[721] 1.287366e-07 1.036354e-07 4.104600e-07 1.331430e-06 1.908815e-07
[726] 1.226220e-06 1.015095e-06 1.961420e-06 1.274999e-06 7.866583e-08
[731] 4.081853e-07 7.478491e-07 1.868064e-06 8.272699e-07 1.931323e-08
[736] 1.319941e-06 1.105954e-07 5.800595e-07 4.198532e-07 4.255441e-08
[741] 5.230398e-07 2.606859e-07 4.831427e-08 4.362788e-07 9.029600e-07
[746] 1.213857e-06 3.148976e-07 7.256524e-07 2.781299e-07 9.158008e-09
[751] 3.114854e-06 6.920770e-07 7.331520e-07 1.319531e-07 1.623831e-06
[756] 2.201078e-06 8.370628e-07 3.394184e-07 3.612167e-07 5.743438e-07
[761] 7.112594e-07 3.555794e-06 4.786160e-07 2.290813e-06 2.542959e-06
[766] 7.185214e-07 2.423714e-08 9.848696e-07 4.723749e-07 8.663974e-08
[771] 5.565499e-06 7.044132e-07 2.254063e-07 1.277635e-06 9.616810e-07
[776] 3.777997e-07 2.486249e-07 1.142592e-06 2.493870e-08 4.664773e-07
[781] 1.510764e-07 1.586817e-06 9.817684e-07 6.285731e-07 6.084704e-07
[786] 6.341465e-07 1.152303e-06 3.102906e-07 1.142843e-06 2.665074e-07
[791] 5.222654e-07 1.367444e-06 1.127108e-06 1.543340e-08 4.634625e-07
[796] 2.112980e-06 8.533873e-08 1.981431e-06 2.554278e-07 2.133047e-07
[801] 6.427294e-07 5.085612e-08 2.290058e-08 1.768596e-07 1.059795e-07
[806] 1.554789e-06 1.756642e-06 1.425879e-07 2.827707e-07 1.910350e-06
[811] 3.310978e-07 1.769346e-07 2.650799e-07 1.316958e-06 1.756133e-07
[816] 9.051636e-07 9.253989e-08 1.123078e-07 4.750002e-07 3.575790e-07
[821] 7.235725e-07 2.479710e-08 8.559790e-07 8.064224e-07 5.909411e-08
[826] 1.131818e-06 1.364590e-06 1.943854e-06 5.801768e-07 8.282995e-08
[831] 6.727621e-07 8.987273e-08 2.712725e-08 3.370265e-08 2.151132e-06
[836] 1.123762e-07 2.851922e-07 1.169409e-06 1.140905e-06 7.147793e-07
[841] 6.584942e-07 8.296300e-08 1.895396e-06 1.204904e-06 1.312195e-06
[846] 4.940867e-07 1.199040e-06 1.779440e-06 7.020622e-07 2.255369e-07
[851] 2.604846e-06 9.554584e-08 1.096614e-07 2.392945e-07 1.331878e-06
[856] 2.093128e-06 5.234437e-07 1.250999e-06 1.522128e-06 3.476161e-07
[861] 2.265957e-07 4.878305e-07 2.618454e-07 1.288774e-06 8.887389e-07
[866] 4.735625e-07 2.479167e-07 4.060119e-07 7.702569e-08 3.812658e-07
[871] 6.280462e-08 1.190747e-07 4.470253e-07 3.352538e-07 4.570067e-07
[876] 1.842460e-06 2.499017e-06 1.695963e-06 5.772858e-07 7.707996e-07
[881] 3.930137e-07 1.755567e-06 7.679567e-07 1.561913e-06 2.044242e-08
[886] 4.644276e-07 3.618537e-07 9.411915e-07 3.131472e-07 4.097266e-07
[891] 7.482576e-07 1.482229e-06 8.245840e-08 1.862751e-07 3.759147e-08
[896] 1.238754e-06 5.621271e-09 2.395958e-07 2.764923e-07 4.518725e-07
[901] 2.914979e-07 1.393009e-06 1.797100e-07 1.454692e-06 2.885785e-07
[906] 9.944368e-08 3.663705e-07 5.531889e-07 2.445437e-07 1.117050e-06
[911] 9.358026e-08 6.552465e-07 2.569937e-07 3.291702e-07 2.263695e-06
[916] 9.479159e-07 1.372714e-08 2.789606e-06 1.617695e-06 1.407695e-06
[921] 7.292855e-07 7.483723e-07 6.677874e-07 1.410257e-06 1.317200e-06
[926] 1.647236e-06 1.093356e-06 2.061155e-07 9.770346e-07 1.800180e-06
[931] 8.802692e-08 9.598965e-08 3.452526e-07 2.154554e-07 2.098093e-08
[936] 5.254696e-07 2.659232e-07 3.674454e-06 5.284009e-07 3.937752e-08
[941] 1.478995e-06 1.732461e-07 3.654843e-07 7.662978e-08 3.462226e-07
[946] 3.765467e-08 6.860832e-07 1.180588e-06 1.868737e-07 7.656038e-07
[951] 2.761105e-07 2.230294e-06 8.379878e-07 7.472797e-08 1.116265e-07
[956] 5.316675e-07 2.392956e-07 3.322860e-07 1.828206e-08 1.070970e-06
[961] 6.085975e-07 7.332825e-07 1.148538e-06 1.756325e-06 5.531494e-07
[966] 7.003003e-07 9.266686e-07 7.383492e-07 1.914163e-07 1.881072e-06
[971] 4.354380e-07 9.421187e-07 1.674263e-06 1.671963e-06 1.971351e-07
[976] 1.186000e-06 7.459475e-07 2.019184e-07 1.251132e-06 1.523789e-06
[981] 6.679457e-08 1.208951e-06 9.505215e-07 2.710029e-07 2.517138e-06
[986] 1.678458e-07 1.699785e-07 1.136079e-06 7.636140e-07 5.519102e-07
[991] 1.356813e-06 1.973783e-07 4.860015e-09 9.750418e-07 1.522762e-06
[996] 4.665610e-09 8.755351e-07 9.922952e-07 1.732018e-06
$estimates$arrival.degree
[1] 100 100 2 100 2 100 100 2 100 100 2 2 100 100 100 100 100 100
[19] 2 100 100 2 2 2 100 100 2 100 2 2 2 100 100 2 100 2
[37] 2 100 2 2 100 2 100 100 2 100 100 100 2 2 100 100 100 100
[55] 100 2 2 100 100 100 2 100 2 100 100 100 100 100 100 100 100 100
[73] 2 100 100 100 2 2 2 100 2 2 2 100 100 100 2 2 100 100
[91] 2 100 100 100 100 2 2 2 2 2 100 100 2 100 100 100 2 100
[109] 2 100 100 2 100 2 100 100 2 100 2 2 2 2 100 100 100 100
[127] 100 100 100 2 100 100 2 100 2 100 100 100 2 2 100 2 100 100
[145] 2 100 2 100 100 2 100 100 2 2 100 100 100 100 100 100 2 2
[163] 100 100 100 100 2 2 2 2 100 100 2 100 2 2 100 100 2 2
[181] 100 2 2 2 2 100 100 100 2 100 100 100 2 2 100 100 100 2
[199] 2 100 100 2 2 100 100 2 100 100 2 100 100 100 100 100 2 2
[217] 100 100 100 100 100 2 100 2 2 2 2 2 100 100 100 100 100 2
[235] 2 100 100 100 100 100 100 100 100 100 2 2 2 2 100 100 100 2
[253] 100 100 2 100 100 100 2 2 2 2 2 100 100 100 2 2 100 2
[271] 2 2 2 100 100 100 100 100 2 100 100 100 2 100 100 2 2 2
[289] 100 100 100 100 100 100 2 100 100 100 2 2 100 100 2 100 100 2
[307] 100 2 2 2 100 2 100 100 100 100 100 100 2 2 100 2 100 100
[325] 100 100 100 100 100 2 100 2 100 100 100 100 100 2 100 100 2 2
[343] 100 100 100 2 100 100 100 2 2 2 2 100 100 100 2 100 100 100
[361] 100 2 100 2 100 2 100 2 2 2 2 100 100 100 2 100 2 100
[379] 100 2 100 100 2 100 100 2 100 100 2 100 2 100 2 100 2 100
[397] 2 2 2 100 100 2 2 2 2 2 100 100 100 2 2 2 2 2
[415] 100 100 2 100 2 100 2 2 100 2 100 100 2 2 100 100 100 2
[433] 100 100 2 2 2 2 2 100 2 2 100 100 2 2 100 100 100 2
[451] 100 2 100 100 100 2 2 100 2 2 2 2 2 100 100 100 2 100
[469] 2 100 2 100 100 2 100 100 2 2 100 2 100 100 2 2 100 2
[487] 2 100 100 2 100 100 2 100 2 100 100 2 100 2 100 100 100 100
[505] 2 2 2 100 2 2 100 100 100 100 2 2 100 100 100 2 2 100
[523] 100 2 100 2 2 100 100 2 100 100 100 2 100 100 100 2 2 2
[541] 2 2 2 2 2 2 100 100 100 100 100 100 2 100 2 100 100 2
[559] 2 2 2 2 2 100 100 2 100 2 2 100 100 2 2 2 2 100
[577] 100 100 100 100 100 2 100 100 100 100 100 100 2 100 100 2 100 2
[595] 100 2 100 2 100 2 2 100 100 2 100 100 100 2 2 2 100 2
[613] 100 100 100 100 2 100 2 2 2 100 2 100 100 2 2 100 100 100
[631] 100 2 100 100 100 100 100 100 2 100 2 2 2 2 2 100 100 100
[649] 100 2 100 2 2 2 2 2 100 100 2 100 100 2 2 100 100 100
[667] 100 2 2 2 100 2 100 2 2 100 100 2 2 100 100 2 2 2
[685] 100 100 2 100 2 100 100 100 2 2 2 2 100 100 100 100 100 100
[703] 2 100 2 100 100 100 100 2 100 2 100 100 100 100 100 2 2 100
[721] 2 2 100 2 100 2 2 100 100 100 2 100 100 2 100 100 2 2
[739] 100 100 100 100 2 2 100 100 100 100 100 100 2 2 2 100 2 2
[757] 2 100 100 2 100 100 2 100 2 100 100 100 100 2 100 2 2 2
[775] 2 100 100 100 2 100 2 100 100 2 100 100 100 2 100 2 2 100
[793] 2 2 2 100 100 2 100 2 100 2 100 100 100 100 2 100 2 100
[811] 100 2 100 100 100 2 2 2 2 2 100 2 2 100 2 2 2 100
[829] 100 2 100 100 100 100 100 100 100 100 100 2 100 100 100 100 100 100
[847] 2 2 100 2 100 2 100 100 100 2 2 100 2 2 2 2 2 100
[865] 2 2 100 100 2 2 2 100 2 100 100 2 100 100 2 100 2 100
[883] 2 100 100 2 2 100 2 2 2 2 100 2 2 100 100 100 2 100
[901] 100 2 2 2 100 100 2 100 100 2 100 2 100 2 100 2 100 2
[919] 100 100 2 100 100 2 100 2 100 2 2 100 2 2 100 100 100 100
[937] 2 2 2 2 100 100 2 2 2 100 100 2 2 100 100 100 100 2
[955] 2 2 2 100 2 2 100 100 100 100 2 100 2 100 2 100 2 100
[973] 100 2 2 2 2 2 2 2 2 2 100 100 2 100 2 100 100 2
[991] 2 100 100 2 2 100 2 2 2 100
$estimates$convergence
[1] NA 0 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
[26] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
[51] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
[76] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 0
$estimates$likelihood
[1] -11795.47
attr(,"class")
[1] "rds-object"
$max1
[1] Inf
$min
[1] Inf
chords documentation built on May 2, 2019, 12:37 p.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description Usage Arguments Value Note References See Also Examples
Description
Generates a sample from the sampling process assumed in the reference.
Well, actually, only the sufficient statistics required by Estimate.b.k are returned.
Usage
1 | makeRdsSample(N.k, b.k, sample.length)
|
Arguments
N.k |
An integer vector with the population frequency of each degree. |
b.k |
A numeric vector of the sampling rates of each degree. |
sample.length |
The length of the sample. Specified as the number of recruitees before termination. |
Value
An object of class rds-object suitable for applying Estimate.b.k.
Note
The simulator does not prodice a whole RDS sample, but rather the sufficient statistics required for applying Estimate.b.k.
References
[1] Berchenko, Y., Rosenblatt J.D., and S.D.W. Frost. "Modeling and Analyzing Respondent Driven Sampling as a Counting Process." arXiv:1304.3505
See Also
Examples
1 2 3 4 5 6 7 8 9 10 11 12 13 | # Generate data:
true.Nks <- rep(0,100); true.Nks[c(2,100)] <- 1000
theta <- 1e-1
true.log.bks <- rep(-Inf, 100);true.log.bks[c(2,100)] <- theta*log(c(2,100))
sample.length <- 1000L
rds.simulated.object <- makeRdsSample(
N.k =true.Nks ,
b.k = exp(true.log.bks),
sample.length = sample.length)
# Estimate:
Estimate.b.k(rds.object = rds.simulated.object )
chords:::compareNkEstimate(rds.simulated.object$estimates$Nk.estimates, true.Nks)
|
Example output
$rds.sample
NS1 interviewDt
1 100 0.001172573
2 100 0.001759087
3 2 0.001895213
4 100 0.002009043
5 2 0.002086643
6 100 0.002116921
7 100 0.002192496
8 2 0.002230806
9 100 0.002266132
10 100 0.002266618
11 2 0.002269460
12 2 0.002308406
13 100 0.002339344
14 100 0.002395305
15 100 0.002400051
16 100 0.002434767
17 100 0.002444297
18 100 0.002469796
19 2 0.002472268
20 100 0.002508402
21 100 0.002535015
22 2 0.002538282
23 2 0.002566292
24 2 0.002579850
25 100 0.002593956
26 100 0.002620760
27 2 0.002623686
28 100 0.002669656
29 2 0.002675202
30 2 0.002697026
31 2 0.002713029
32 100 0.002731764
33 100 0.002746928
34 2 0.002755678
35 100 0.002765976
36 2 0.002767000
37 2 0.002771046
38 100 0.002771309
39 2 0.002772353
40 2 0.002785705
41 100 0.002787775
42 2 0.002788885
43 100 0.002789883
44 100 0.002805545
45 2 0.002813354
46 100 0.002817542
47 100 0.002818673
48 100 0.002819649
49 2 0.002841681
50 2 0.002851925
51 100 0.002861076
52 100 0.002861801
53 100 0.002866988
54 100 0.002888242
55 100 0.002894430
56 2 0.002894765
57 2 0.002898843
58 100 0.002899752
59 100 0.002904220
60 100 0.002916314
61 2 0.002918864
62 100 0.002919504
63 2 0.002941127
64 100 0.002943872
65 100 0.002944175
66 100 0.002944359
67 100 0.002951879
68 100 0.002962325
69 100 0.002967251
70 100 0.002967264
71 100 0.002968408
72 100 0.002973819
73 2 0.002974205
74 100 0.003012402
75 100 0.003012518
76 100 0.003025502
77 2 0.003026834
78 2 0.003032632
79 2 0.003034057
80 100 0.003038574
81 2 0.003039428
82 2 0.003043075
83 2 0.003043397
84 100 0.003052906
85 100 0.003060104
86 100 0.003062052
87 2 0.003063648
88 2 0.003068351
89 100 0.003069379
90 100 0.003073318
91 2 0.003077494
92 100 0.003077707
93 100 0.003080615
94 100 0.003081083
95 100 0.003106268
96 2 0.003111783
97 2 0.003113304
98 2 0.003114260
99 2 0.003115063
100 2 0.003124628
101 100 0.003124979
102 100 0.003125376
103 2 0.003126113
104 100 0.003130151
105 100 0.003130183
106 100 0.003132428
107 2 0.003141082
108 100 0.003144422
109 2 0.003147845
110 100 0.003151275
111 100 0.003159197
112 2 0.003171720
113 100 0.003175096
114 2 0.003175548
115 100 0.003195460
116 100 0.003195465
117 2 0.003200172
118 100 0.003204151
119 2 0.003206912
120 2 0.003214944
121 2 0.003217856
122 2 0.003219057
123 100 0.003221131
124 100 0.003222572
125 100 0.003223611
126 100 0.003223713
127 100 0.003228019
128 100 0.003229812
129 100 0.003249241
130 2 0.003251793
131 100 0.003252105
132 100 0.003256829
133 2 0.003258606
134 100 0.003259960
135 2 0.003260152
136 100 0.003262121
137 100 0.003265695
138 100 0.003266298
139 2 0.003270495
140 2 0.003278270
141 100 0.003283738
142 2 0.003289866
143 100 0.003292043
144 100 0.003293555
145 2 0.003294515
146 100 0.003296149
147 2 0.003296874
148 100 0.003297600
149 100 0.003303591
150 2 0.003303994
151 100 0.003305637
152 100 0.003305841
153 2 0.003306953
154 2 0.003307976
155 100 0.003308886
156 100 0.003310679
157 100 0.003317038
158 100 0.003317116
159 100 0.003319245
160 100 0.003320622
161 2 0.003322113
162 2 0.003323109
163 100 0.003325517
164 100 0.003332692
165 100 0.003342575
166 100 0.003342735
167 2 0.003345854
168 2 0.003346144
169 2 0.003350410
170 2 0.003352710
171 100 0.003353575
172 100 0.003355212
173 2 0.003356586
174 100 0.003358516
175 2 0.003358963
176 2 0.003363269
177 100 0.003363663
178 100 0.003364023
179 2 0.003364048
180 2 0.003365252
181 100 0.003366235
182 2 0.003371999
183 2 0.003375721
184 2 0.003376816
185 2 0.003377130
186 100 0.003378018
187 100 0.003379622
188 100 0.003381142
189 2 0.003382133
190 100 0.003387320
191 100 0.003392191
192 100 0.003392378
193 2 0.003395919
194 2 0.003398115
195 100 0.003402161
196 100 0.003403118
197 100 0.003404002
198 2 0.003406501
199 2 0.003407219
200 100 0.003409583
201 100 0.003411400
202 2 0.003414810
203 2 0.003417791
204 100 0.003419669
205 100 0.003421768
206 2 0.003423314
207 100 0.003424540
208 100 0.003425401
209 2 0.003425754
210 100 0.003428323
211 100 0.003431504
212 100 0.003431898
213 100 0.003432926
214 100 0.003436303
215 2 0.003439703
216 2 0.003442786
217 100 0.003443977
218 100 0.003445436
219 100 0.003447875
220 100 0.003447919
221 100 0.003449787
222 2 0.003452128
223 100 0.003459669
224 2 0.003461169
225 2 0.003463014
226 2 0.003464271
227 2 0.003465320
228 2 0.003468936
229 100 0.003470356
230 100 0.003470961
231 100 0.003471100
232 100 0.003471773
233 100 0.003472015
234 2 0.003472187
235 2 0.003472215
236 100 0.003473051
237 100 0.003474426
238 100 0.003476467
239 100 0.003478337
240 100 0.003478854
241 100 0.003484763
242 100 0.003484840
243 100 0.003485196
244 100 0.003487771
245 2 0.003488732
246 2 0.003489432
247 2 0.003489950
248 2 0.003490123
249 100 0.003490510
250 100 0.003491467
251 100 0.003492145
252 2 0.003494311
253 100 0.003496075
254 100 0.003498720
255 2 0.003500357
256 100 0.003500542
257 100 0.003501547
258 100 0.003505382
259 2 0.003507156
260 2 0.003512124
261 2 0.003512590
262 2 0.003512915
263 2 0.003517119
264 100 0.003521575
265 100 0.003524283
266 100 0.003525237
267 2 0.003527633
268 2 0.003528058
269 100 0.003530805
270 2 0.003531131
271 2 0.003532623
272 2 0.003534249
273 2 0.003535509
274 100 0.003538682
275 100 0.003539456
276 100 0.003540018
277 100 0.003541366
278 100 0.003544110
279 2 0.003544453
280 100 0.003544570
281 100 0.003545278
282 100 0.003546409
283 2 0.003546623
284 100 0.003547249
285 100 0.003547852
286 2 0.003548271
287 2 0.003549059
288 2 0.003549128
289 100 0.003552295
290 100 0.003563425
291 100 0.003568253
292 100 0.003571154
293 100 0.003573046
294 100 0.003573844
295 2 0.003574965
296 100 0.003576398
297 100 0.003576726
298 100 0.003576755
299 2 0.003578716
300 2 0.003579962
301 100 0.003580511
302 100 0.003582676
303 2 0.003582763
304 100 0.003583221
305 100 0.003583725
306 2 0.003583823
307 100 0.003584320
308 2 0.003589667
309 2 0.003590082
310 2 0.003591663
311 100 0.003593734
312 2 0.003594220
313 100 0.003595493
314 100 0.003596001
315 100 0.003596376
316 100 0.003598052
317 100 0.003600073
318 100 0.003600497
319 2 0.003606682
320 2 0.003608241
321 100 0.003610190
322 2 0.003610498
323 100 0.003611211
324 100 0.003616581
325 100 0.003617124
326 100 0.003618562
327 100 0.003618955
328 100 0.003622784
329 100 0.003625204
330 2 0.003626791
331 100 0.003627050
332 2 0.003628178
333 100 0.003628189
334 100 0.003628556
335 100 0.003630008
336 100 0.003630443
337 100 0.003630643
338 2 0.003631821
339 100 0.003632177
340 100 0.003632407
341 2 0.003636753
342 2 0.003638207
343 100 0.003640663
344 100 0.003640905
345 100 0.003641637
346 2 0.003643747
347 100 0.003646264
348 100 0.003646398
349 100 0.003647486
350 2 0.003651415
351 2 0.003654284
352 2 0.003655268
353 2 0.003655355
354 100 0.003656747
355 100 0.003657246
356 100 0.003657637
357 2 0.003658692
358 100 0.003658718
359 100 0.003659091
360 100 0.003659599
361 100 0.003659709
362 2 0.003660050
363 100 0.003660456
364 2 0.003660689
365 100 0.003661129
366 2 0.003662272
367 100 0.003662517
368 2 0.003665072
369 2 0.003665823
370 2 0.003668222
371 2 0.003669107
372 100 0.003669212
373 100 0.003671645
374 100 0.003676388
375 2 0.003678104
376 100 0.003678127
377 2 0.003678195
378 100 0.003678795
379 100 0.003680074
380 2 0.003680164
381 100 0.003680480
382 100 0.003681752
383 2 0.003682598
384 100 0.003682752
385 100 0.003682759
386 2 0.003683817
387 100 0.003684429
388 100 0.003685225
389 2 0.003687113
390 100 0.003687796
391 2 0.003688326
392 100 0.003688604
393 2 0.003689576
394 100 0.003690348
395 2 0.003691479
396 100 0.003691772
397 2 0.003692801
398 2 0.003694155
399 2 0.003698002
400 100 0.003698046
401 100 0.003698605
402 2 0.003699092
403 2 0.003699168
404 2 0.003699706
405 2 0.003701068
406 2 0.003703216
407 100 0.003703520
408 100 0.003704559
409 100 0.003706933
410 2 0.003707581
411 2 0.003709859
412 2 0.003712742
413 2 0.003718147
414 2 0.003718662
415 100 0.003719271
416 100 0.003719466
417 2 0.003720202
418 100 0.003720900
419 2 0.003723752
420 100 0.003727696
421 2 0.003729028
422 2 0.003729074
423 100 0.003733762
424 2 0.003734646
425 100 0.003737327
426 100 0.003737526
427 2 0.003739849
428 2 0.003739970
429 100 0.003744011
430 100 0.003744798
431 100 0.003746576
432 2 0.003749452
433 100 0.003752002
434 100 0.003754459
435 2 0.003754944
436 2 0.003758085
437 2 0.003758460
438 2 0.003760621
439 2 0.003760699
440 100 0.003761705
441 2 0.003762437
442 2 0.003763759
443 100 0.003764178
444 100 0.003766182
445 2 0.003766580
446 2 0.003766863
447 100 0.003768085
448 100 0.003768647
449 100 0.003769278
450 2 0.003769529
451 100 0.003769871
452 2 0.003770514
453 100 0.003771532
454 100 0.003772125
455 100 0.003773652
456 2 0.003774806
457 2 0.003777767
458 100 0.003778051
459 2 0.003778304
460 2 0.003778908
461 2 0.003779268
462 2 0.003779317
463 2 0.003780856
464 100 0.003782665
465 100 0.003784162
466 100 0.003785234
467 2 0.003786802
468 100 0.003787568
469 2 0.003787710
470 100 0.003788047
471 2 0.003788585
472 100 0.003788635
473 100 0.003789188
474 2 0.003789242
475 100 0.003790184
476 100 0.003791086
477 2 0.003793302
478 2 0.003793494
479 100 0.003794247
480 2 0.003795207
481 100 0.003795876
482 100 0.003796787
483 2 0.003798063
484 2 0.003800955
485 100 0.003801668
486 2 0.003802718
487 2 0.003804692
488 100 0.003806174
489 100 0.003806588
490 2 0.003806609
491 100 0.003808327
492 100 0.003808719
493 2 0.003808734
494 100 0.003808793
495 2 0.003808933
496 100 0.003809275
497 100 0.003810456
498 2 0.003813273
499 100 0.003813299
500 2 0.003813592
501 100 0.003814131
502 100 0.003815348
503 100 0.003815901
504 100 0.003816763
505 2 0.003816925
506 2 0.003817351
507 2 0.003817454
508 100 0.003817860
509 2 0.003818560
510 2 0.003820342
511 100 0.003823064
512 100 0.003824564
513 100 0.003827292
514 100 0.003828529
515 2 0.003831819
516 2 0.003833040
517 100 0.003833918
518 100 0.003834321
519 100 0.003835361
520 2 0.003835781
521 2 0.003837260
522 100 0.003838771
523 100 0.003838799
524 2 0.003840059
525 100 0.003841296
526 2 0.003841884
527 2 0.003842172
528 100 0.003842256
529 100 0.003842683
530 2 0.003843487
531 100 0.003843861
532 100 0.003844944
533 100 0.003849481
534 2 0.003849733
535 100 0.003851019
536 100 0.003851110
537 100 0.003851870
538 2 0.003852307
539 2 0.003853008
540 2 0.003853017
541 2 0.003853654
542 2 0.003855735
543 2 0.003856457
544 2 0.003857625
545 2 0.003858222
546 2 0.003858587
547 100 0.003858636
548 100 0.003861478
549 100 0.003861530
550 100 0.003863418
551 100 0.003863602
552 100 0.003866663
553 2 0.003868052
554 100 0.003868373
555 2 0.003869918
556 100 0.003872331
557 100 0.003874206
558 2 0.003874744
559 2 0.003875819
560 2 0.003876039
561 2 0.003876093
562 2 0.003876934
563 2 0.003880575
564 100 0.003880780
565 100 0.003881424
566 2 0.003881466
567 100 0.003881856
568 2 0.003881889
569 2 0.003882314
570 100 0.003882387
571 100 0.003885841
572 2 0.003886636
573 2 0.003886696
574 2 0.003887248
575 2 0.003887690
576 100 0.003889128
577 100 0.003889828
578 100 0.003891460
579 100 0.003891780
580 100 0.003897628
581 100 0.003897649
582 2 0.003898859
583 100 0.003899425
584 100 0.003901191
585 100 0.003903527
586 100 0.003904159
587 100 0.003905433
588 100 0.003906123
589 2 0.003908327
590 100 0.003908715
591 100 0.003909235
592 2 0.003909493
593 100 0.003911189
594 2 0.003914728
595 100 0.003914999
596 2 0.003915998
597 100 0.003917034
598 2 0.003918906
599 100 0.003918908
600 2 0.003919953
601 2 0.003920095
602 100 0.003922929
603 100 0.003923833
604 2 0.003928177
605 100 0.003931140
606 100 0.003931218
607 100 0.003931427
608 2 0.003931758
609 2 0.003934752
610 2 0.003936372
611 100 0.003936474
612 2 0.003940259
613 100 0.003940952
614 100 0.003941508
615 100 0.003943874
616 100 0.003944042
617 2 0.003944287
618 100 0.003944720
619 2 0.003944867
620 2 0.003944895
621 2 0.003945110
622 100 0.003945724
623 2 0.003946194
624 100 0.003946491
625 100 0.003946498
626 2 0.003947175
627 2 0.003948151
628 100 0.003948349
629 100 0.003948972
630 100 0.003949393
631 100 0.003949667
632 2 0.003949913
633 100 0.003949944
634 100 0.003950573
635 100 0.003950817
636 100 0.003950899
637 100 0.003951133
638 100 0.003951313
639 2 0.003952467
640 100 0.003952470
641 2 0.003953049
642 2 0.003954047
643 2 0.003954354
644 2 0.003955445
645 2 0.003955530
646 100 0.003957302
647 100 0.003958350
648 100 0.003958700
649 100 0.003960108
650 2 0.003960160
651 100 0.003960524
652 2 0.003960719
653 2 0.003962200
654 2 0.003962882
655 2 0.003964198
656 2 0.003966192
657 100 0.003966376
658 100 0.003966965
659 2 0.003967123
660 100 0.003968356
661 100 0.003968630
662 2 0.003969174
663 2 0.003970525
664 100 0.003970672
665 100 0.003972152
666 100 0.003972239
667 100 0.003972370
668 2 0.003973061
669 2 0.003973892
670 2 0.003973897
671 100 0.003974767
672 2 0.003978861
673 100 0.003981485
674 2 0.003981796
675 2 0.003985930
676 100 0.003986865
677 100 0.003986964
678 2 0.003987026
679 2 0.003988187
680 100 0.003988510
681 100 0.003988598
682 2 0.003989070
683 2 0.003989565
684 2 0.003990093
685 100 0.003991748
686 100 0.003991932
687 2 0.003992661
688 100 0.003992726
689 2 0.003993241
690 100 0.003993432
691 100 0.003994941
692 100 0.003995158
693 2 0.003996221
694 2 0.003996680
695 2 0.003997542
696 2 0.003997676
697 100 0.003998356
698 100 0.003998960
699 100 0.004000060
700 100 0.004005808
701 100 0.004006017
702 100 0.004006089
703 2 0.004006754
704 100 0.004008028
705 2 0.004008114
706 100 0.004008317
707 100 0.004008959
708 100 0.004011743
709 100 0.004014689
710 2 0.004014735
711 100 0.004014814
712 2 0.004015204
713 100 0.004015935
714 100 0.004016122
715 100 0.004016487
716 100 0.004017995
717 100 0.004018393
718 2 0.004018692
719 2 0.004019002
720 100 0.004019212
721 2 0.004019815
722 2 0.004019944
723 100 0.004020048
724 2 0.004020458
725 100 0.004021790
726 2 0.004021981
727 2 0.004023207
728 100 0.004024222
729 100 0.004026183
730 100 0.004027458
731 2 0.004027537
732 100 0.004027945
733 100 0.004028693
734 2 0.004030561
735 100 0.004031388
736 100 0.004031408
737 2 0.004032728
738 2 0.004032838
739 100 0.004033418
740 100 0.004033838
741 100 0.004033881
742 100 0.004034404
743 2 0.004034664
744 2 0.004034713
745 100 0.004035149
746 100 0.004036052
747 100 0.004037266
748 100 0.004037581
749 100 0.004038306
750 100 0.004038584
751 2 0.004038594
752 2 0.004041708
753 2 0.004042401
754 100 0.004043134
755 2 0.004043266
756 2 0.004044889
757 2 0.004047091
758 100 0.004047928
759 100 0.004048267
760 2 0.004048628
761 100 0.004049203
762 100 0.004049914
763 2 0.004053470
764 100 0.004053948
765 2 0.004056239
766 100 0.004058782
767 100 0.004059501
768 100 0.004059525
769 100 0.004060510
770 2 0.004060982
771 100 0.004061069
772 2 0.004066634
773 2 0.004067339
774 2 0.004067564
775 2 0.004068842
776 100 0.004069803
777 100 0.004070181
778 100 0.004070430
779 2 0.004071572
780 100 0.004071597
781 2 0.004072064
782 100 0.004072215
783 100 0.004073802
784 2 0.004074783
785 100 0.004075412
786 100 0.004076020
787 100 0.004076655
788 2 0.004077807
789 100 0.004078117
790 2 0.004079260
791 2 0.004079527
792 100 0.004080049
793 2 0.004081416
794 2 0.004082543
795 2 0.004082559
796 100 0.004083022
797 100 0.004085135
798 2 0.004085221
799 100 0.004087202
800 2 0.004087457
801 100 0.004087671
802 2 0.004088313
803 100 0.004088364
804 100 0.004088387
805 100 0.004088564
806 100 0.004088670
807 2 0.004090225
808 100 0.004091981
809 2 0.004092124
810 100 0.004092407
811 100 0.004094317
812 2 0.004094648
813 100 0.004094825
814 100 0.004095090
815 100 0.004096407
816 2 0.004096583
817 2 0.004097488
818 2 0.004097581
819 2 0.004097693
820 2 0.004098168
821 100 0.004098525
822 2 0.004099249
823 2 0.004099274
824 100 0.004100130
825 2 0.004100936
826 2 0.004100995
827 2 0.004102127
828 100 0.004103492
829 100 0.004105436
830 2 0.004106016
831 100 0.004106099
832 100 0.004106771
833 100 0.004106861
834 100 0.004106888
835 100 0.004106922
836 100 0.004109073
837 100 0.004109186
838 100 0.004109471
839 100 0.004110640
840 2 0.004111781
841 100 0.004112496
842 100 0.004113154
843 100 0.004113237
844 100 0.004115133
845 100 0.004116338
846 100 0.004117650
847 2 0.004118144
848 2 0.004119343
849 100 0.004121122
850 2 0.004121824
851 100 0.004122050
852 2 0.004124655
853 100 0.004124750
854 100 0.004124860
855 100 0.004125099
856 2 0.004126431
857 2 0.004128524
858 100 0.004129048
859 2 0.004130299
860 2 0.004131821
861 2 0.004132168
862 2 0.004132395
863 2 0.004132883
864 100 0.004133145
865 2 0.004134434
866 2 0.004135322
867 100 0.004135796
868 100 0.004136044
869 2 0.004136450
870 2 0.004136527
871 2 0.004136908
872 100 0.004136971
873 2 0.004137090
874 100 0.004137537
875 100 0.004137872
876 2 0.004138329
877 100 0.004140172
878 100 0.004142671
879 2 0.004144367
880 100 0.004144944
881 2 0.004145715
882 100 0.004146108
883 2 0.004147863
884 100 0.004148631
885 100 0.004150193
886 2 0.004150214
887 2 0.004150678
888 100 0.004151040
889 2 0.004151981
890 2 0.004152294
891 2 0.004152704
892 2 0.004153452
893 100 0.004154934
894 2 0.004155017
895 2 0.004155203
896 100 0.004155241
897 100 0.004156480
898 100 0.004156485
899 2 0.004156725
900 100 0.004157001
901 100 0.004157453
902 2 0.004157745
903 2 0.004159138
904 2 0.004159317
905 100 0.004160772
906 100 0.004161061
907 2 0.004161160
908 100 0.004161526
909 100 0.004162080
910 2 0.004162324
911 100 0.004163441
912 2 0.004163535
913 100 0.004164190
914 2 0.004164447
915 100 0.004164776
916 2 0.004167040
917 100 0.004167988
918 2 0.004168002
919 100 0.004170791
920 100 0.004172409
921 2 0.004173817
922 100 0.004174546
923 100 0.004175294
924 2 0.004175962
925 100 0.004177372
926 2 0.004178689
927 100 0.004180337
928 2 0.004181430
929 2 0.004181636
930 100 0.004182613
931 2 0.004184413
932 2 0.004184501
933 100 0.004184597
934 100 0.004184943
935 100 0.004185158
936 100 0.004185179
937 2 0.004185705
938 2 0.004185970
939 2 0.004189645
940 2 0.004190173
941 100 0.004190213
942 100 0.004191692
943 2 0.004191865
944 2 0.004192230
945 2 0.004192307
946 100 0.004192653
947 100 0.004192691
948 2 0.004193377
949 2 0.004194558
950 100 0.004194744
951 100 0.004195510
952 100 0.004195786
953 100 0.004198016
954 2 0.004198854
955 2 0.004198929
956 2 0.004199041
957 2 0.004199572
958 100 0.004199812
959 2 0.004200144
960 2 0.004200162
961 100 0.004201233
962 100 0.004201842
963 100 0.004202575
964 100 0.004203724
965 2 0.004205480
966 100 0.004206033
967 2 0.004206734
968 100 0.004207660
969 2 0.004208399
970 100 0.004208590
971 2 0.004210471
972 100 0.004210906
973 100 0.004211849
974 2 0.004213523
975 2 0.004215195
976 2 0.004215392
977 2 0.004216578
978 2 0.004217324
979 2 0.004217526
980 2 0.004218777
981 2 0.004220301
982 2 0.004220368
983 100 0.004221576
984 100 0.004222527
985 2 0.004222798
986 100 0.004225315
987 2 0.004225483
988 100 0.004225653
989 100 0.004226789
990 2 0.004227553
991 2 0.004228105
992 100 0.004229461
993 100 0.004229659
994 2 0.004229664
995 2 0.004230639
996 100 0.004232161
997 2 0.004232166
998 2 0.004233042
999 2 0.004234034
1000 100 0.004235766
$I.t
[1] 1 2 3 4 5 6 7 8 9 10 11 12 13 14
[15] 15 16 17 18 19 20 21 22 23 24 25 26 27 28
[29] 29 30 31 32 33 34 35 36 37 38 39 40 41 42
[43] 43 44 45 46 47 48 49 50 51 52 53 54 55 56
[57] 57 58 59 60 61 62 63 64 65 66 67 68 69 70
[71] 71 72 73 74 75 76 77 78 79 80 81 82 83 84
[85] 85 86 87 88 89 90 91 92 93 94 95 96 97 98
[99] 99 100 101 102 103 104 105 106 107 108 109 110 111 112
[113] 113 114 115 116 117 118 119 120 121 122 123 124 125 126
[127] 127 128 129 130 131 132 133 134 135 136 137 138 139 140
[141] 141 142 143 144 145 146 147 148 149 150 151 152 153 154
[155] 155 156 157 158 159 160 161 162 163 164 165 166 167 168
[169] 169 170 171 172 173 174 175 176 177 178 179 180 181 182
[183] 183 184 185 186 187 188 189 190 191 192 193 194 195 196
[197] 197 198 199 200 201 202 203 204 205 206 207 208 209 210
[211] 211 212 213 214 215 216 217 218 219 220 221 222 223 224
[225] 225 226 227 228 229 230 231 232 233 234 235 236 237 238
[239] 239 240 241 242 243 244 245 246 247 248 249 250 251 252
[253] 253 254 255 256 257 258 259 260 261 262 263 264 265 266
[267] 267 268 269 270 271 272 273 274 275 276 277 278 279 280
[281] 281 282 283 284 285 286 287 288 289 290 291 292 293 294
[295] 295 296 297 298 299 300 301 302 303 304 305 306 307 308
[309] 309 310 311 312 313 314 315 316 317 318 319 320 321 322
[323] 323 324 325 326 327 328 329 330 331 332 333 334 335 336
[337] 337 338 339 340 341 342 343 344 345 346 347 348 349 350
[351] 351 352 353 354 355 356 357 358 359 360 361 362 363 364
[365] 365 366 367 368 369 370 371 372 373 374 375 376 377 378
[379] 379 380 381 382 383 384 385 386 387 388 389 390 391 392
[393] 393 394 395 396 397 398 399 400 401 402 403 404 405 406
[407] 407 408 409 410 411 412 413 414 415 416 417 418 419 420
[421] 421 422 423 424 425 426 427 428 429 430 431 432 433 434
[435] 435 436 437 438 439 440 441 442 443 444 445 446 447 448
[449] 449 450 451 452 453 454 455 456 457 458 459 460 461 462
[463] 463 464 465 466 467 468 469 470 471 472 473 474 475 476
[477] 477 478 479 480 481 482 483 484 485 486 487 488 489 490
[491] 491 492 493 494 495 496 497 498 499 500 501 502 503 504
[505] 505 506 507 508 509 510 511 512 513 514 515 516 517 518
[519] 519 520 521 522 523 524 525 526 527 528 529 530 531 532
[533] 533 534 535 536 537 538 539 540 541 542 543 544 545 546
[547] 547 548 549 550 551 552 553 554 555 556 557 558 559 560
[561] 561 562 563 564 565 566 567 568 569 570 571 572 573 574
[575] 575 576 577 578 579 580 581 582 583 584 585 586 587 588
[589] 589 590 591 592 593 594 595 596 597 598 599 600 601 602
[603] 603 604 605 606 607 608 609 610 611 612 613 614 615 616
[617] 617 618 619 620 621 622 623 624 625 626 627 628 629 630
[631] 631 632 633 634 635 636 637 638 639 640 641 642 643 644
[645] 645 646 647 648 649 650 651 652 653 654 655 656 657 658
[659] 659 660 661 662 663 664 665 666 667 668 669 670 671 672
[673] 673 674 675 676 677 678 679 680 681 682 683 684 685 686
[687] 687 688 689 690 691 692 693 694 695 696 697 698 699 700
[701] 701 702 703 704 705 706 707 708 709 710 711 712 713 714
[715] 715 716 717 718 719 720 721 722 723 724 725 726 727 728
[729] 729 730 731 732 733 734 735 736 737 738 739 740 741 742
[743] 743 744 745 746 747 748 749 750 751 752 753 754 755 756
[757] 757 758 759 760 761 762 763 764 765 766 767 768 769 770
[771] 771 772 773 774 775 776 777 778 779 780 781 782 783 784
[785] 785 786 787 788 789 790 791 792 793 794 795 796 797 798
[799] 799 800 801 802 803 804 805 806 807 808 809 810 811 812
[813] 813 814 815 816 817 818 819 820 821 822 823 824 825 826
[827] 827 828 829 830 831 832 833 834 835 836 837 838 839 840
[841] 841 842 843 844 845 846 847 848 849 850 851 852 853 854
[855] 855 856 857 858 859 860 861 862 863 864 865 866 867 868
[869] 869 870 871 872 873 874 875 876 877 878 879 880 881 882
[883] 883 884 885 886 887 888 889 890 891 892 893 894 895 896
[897] 897 898 899 900 901 902 903 904 905 906 907 908 909 910
[911] 911 912 913 914 915 916 917 918 919 920 921 922 923 924
[925] 925 926 927 928 929 930 931 932 933 934 935 936 937 938
[939] 939 940 941 942 943 944 945 946 947 948 949 950 951 952
[953] 953 954 955 956 957 958 959 960 961 962 963 964 965 966
[967] 967 968 969 970 971 972 973 974 975 976 977 978 979 980
[981] 981 982 983 984 985 986 987 988 989 990 991 992 993 994
[995] 995 996 997 998 999 1000
$degree.in
[1] 100 100 2 100 2 100 100 2 100 100 2 2 100 100 100 100 100 100
[19] 2 100 100 2 2 2 100 100 2 100 2 2 2 100 100 2 100 2
[37] 2 100 2 2 100 2 100 100 2 100 100 100 2 2 100 100 100 100
[55] 100 2 2 100 100 100 2 100 2 100 100 100 100 100 100 100 100 100
[73] 2 100 100 100 2 2 2 100 2 2 2 100 100 100 2 2 100 100
[91] 2 100 100 100 100 2 2 2 2 2 100 100 2 100 100 100 2 100
[109] 2 100 100 2 100 2 100 100 2 100 2 2 2 2 100 100 100 100
[127] 100 100 100 2 100 100 2 100 2 100 100 100 2 2 100 2 100 100
[145] 2 100 2 100 100 2 100 100 2 2 100 100 100 100 100 100 2 2
[163] 100 100 100 100 2 2 2 2 100 100 2 100 2 2 100 100 2 2
[181] 100 2 2 2 2 100 100 100 2 100 100 100 2 2 100 100 100 2
[199] 2 100 100 2 2 100 100 2 100 100 2 100 100 100 100 100 2 2
[217] 100 100 100 100 100 2 100 2 2 2 2 2 100 100 100 100 100 2
[235] 2 100 100 100 100 100 100 100 100 100 2 2 2 2 100 100 100 2
[253] 100 100 2 100 100 100 2 2 2 2 2 100 100 100 2 2 100 2
[271] 2 2 2 100 100 100 100 100 2 100 100 100 2 100 100 2 2 2
[289] 100 100 100 100 100 100 2 100 100 100 2 2 100 100 2 100 100 2
[307] 100 2 2 2 100 2 100 100 100 100 100 100 2 2 100 2 100 100
[325] 100 100 100 100 100 2 100 2 100 100 100 100 100 2 100 100 2 2
[343] 100 100 100 2 100 100 100 2 2 2 2 100 100 100 2 100 100 100
[361] 100 2 100 2 100 2 100 2 2 2 2 100 100 100 2 100 2 100
[379] 100 2 100 100 2 100 100 2 100 100 2 100 2 100 2 100 2 100
[397] 2 2 2 100 100 2 2 2 2 2 100 100 100 2 2 2 2 2
[415] 100 100 2 100 2 100 2 2 100 2 100 100 2 2 100 100 100 2
[433] 100 100 2 2 2 2 2 100 2 2 100 100 2 2 100 100 100 2
[451] 100 2 100 100 100 2 2 100 2 2 2 2 2 100 100 100 2 100
[469] 2 100 2 100 100 2 100 100 2 2 100 2 100 100 2 2 100 2
[487] 2 100 100 2 100 100 2 100 2 100 100 2 100 2 100 100 100 100
[505] 2 2 2 100 2 2 100 100 100 100 2 2 100 100 100 2 2 100
[523] 100 2 100 2 2 100 100 2 100 100 100 2 100 100 100 2 2 2
[541] 2 2 2 2 2 2 100 100 100 100 100 100 2 100 2 100 100 2
[559] 2 2 2 2 2 100 100 2 100 2 2 100 100 2 2 2 2 100
[577] 100 100 100 100 100 2 100 100 100 100 100 100 2 100 100 2 100 2
[595] 100 2 100 2 100 2 2 100 100 2 100 100 100 2 2 2 100 2
[613] 100 100 100 100 2 100 2 2 2 100 2 100 100 2 2 100 100 100
[631] 100 2 100 100 100 100 100 100 2 100 2 2 2 2 2 100 100 100
[649] 100 2 100 2 2 2 2 2 100 100 2 100 100 2 2 100 100 100
[667] 100 2 2 2 100 2 100 2 2 100 100 2 2 100 100 2 2 2
[685] 100 100 2 100 2 100 100 100 2 2 2 2 100 100 100 100 100 100
[703] 2 100 2 100 100 100 100 2 100 2 100 100 100 100 100 2 2 100
[721] 2 2 100 2 100 2 2 100 100 100 2 100 100 2 100 100 2 2
[739] 100 100 100 100 2 2 100 100 100 100 100 100 2 2 2 100 2 2
[757] 2 100 100 2 100 100 2 100 2 100 100 100 100 2 100 2 2 2
[775] 2 100 100 100 2 100 2 100 100 2 100 100 100 2 100 2 2 100
[793] 2 2 2 100 100 2 100 2 100 2 100 100 100 100 2 100 2 100
[811] 100 2 100 100 100 2 2 2 2 2 100 2 2 100 2 2 2 100
[829] 100 2 100 100 100 100 100 100 100 100 100 2 100 100 100 100 100 100
[847] 2 2 100 2 100 2 100 100 100 2 2 100 2 2 2 2 2 100
[865] 2 2 100 100 2 2 2 100 2 100 100 2 100 100 2 100 2 100
[883] 2 100 100 2 2 100 2 2 2 2 100 2 2 100 100 100 2 100
[901] 100 2 2 2 100 100 2 100 100 2 100 2 100 2 100 2 100 2
[919] 100 100 2 100 100 2 100 2 100 2 2 100 2 2 100 100 100 100
[937] 2 2 2 2 100 100 2 2 2 100 100 2 2 100 100 100 100 2
[955] 2 2 2 100 2 2 100 100 100 100 2 100 2 100 2 100 2 100
[973] 100 2 2 2 2 2 2 2 2 2 100 100 2 100 2 100 100 2
[991] 2 100 100 2 2 100 2 2 2 100
$degree.out
[1] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[223] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[260] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[297] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[334] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[371] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[408] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[445] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[482] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[519] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[556] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[593] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[630] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[667] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[704] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[741] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[778] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[815] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[852] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[889] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[926] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[963] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[1000] 0
$original.ordering
NULL
$estimates
$estimates$call
estimate.b.k(rds.object = rds.object, type = "mle")
$estimates$Nk.estimates
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16
0 1152 0 0 0 0 0 0 0 0 0 0 0 0 0 0
17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96
0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
97 98 99 100
0 0 0 905
$estimates$log.bk.estimates
[1] NA -0.0677631 NA NA NA NA
[7] NA NA NA NA NA NA
[13] NA NA NA NA NA NA
[19] NA NA NA NA NA NA
[25] NA NA NA NA NA NA
[31] NA NA NA NA NA NA
[37] NA NA NA NA NA NA
[43] NA NA NA NA NA NA
[49] NA NA NA NA NA NA
[55] NA NA NA NA NA NA
[61] NA NA NA NA NA NA
[67] NA NA NA NA NA NA
[73] NA NA NA NA NA NA
[79] NA NA NA NA NA NA
[85] NA NA NA NA NA NA
[91] NA NA NA NA NA NA
[97] NA NA NA 0.6038145
$estimates$A.ks
[1] NA 0.5210925 NA NA NA NA NA
[8] NA NA NA NA NA NA NA
[15] NA NA NA NA NA NA NA
[22] NA NA NA NA NA NA NA
[29] NA NA NA NA NA NA NA
[36] NA NA NA NA NA NA NA
[43] NA NA NA NA NA NA NA
[50] NA NA NA NA NA NA NA
[57] NA NA NA NA NA NA NA
[64] NA NA NA NA NA NA NA
[71] NA NA NA NA NA NA NA
[78] NA NA NA NA NA NA NA
[85] NA NA NA NA NA NA NA
[92] NA NA NA NA NA NA NA
[99] NA 0.5210925
$estimates$B.ks
[1] NA 124.7737 NA NA NA NA NA NA
[9] NA NA NA NA NA NA NA NA
[17] NA NA NA NA NA NA NA NA
[25] NA NA NA NA NA NA NA NA
[33] NA NA NA NA NA NA NA NA
[41] NA NA NA NA NA NA NA NA
[49] NA NA NA NA NA NA NA NA
[57] NA NA NA NA NA NA NA NA
[65] NA NA NA NA NA NA NA NA
[73] NA NA NA NA NA NA NA NA
[81] NA NA NA NA NA NA NA NA
[89] NA NA NA NA NA NA NA NA
[97] NA NA NA 167.2741
$estimates$n.k.counts
[1] NA 444 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
[19] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
[37] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
[55] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
[73] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
[91] NA NA NA NA NA NA NA NA NA 556
$estimates$arrival.intervals
[1] 5.865138e-04 1.361260e-04 1.138305e-04 7.760024e-05 3.027763e-05
[6] 7.557511e-05 3.831012e-05 3.532560e-05 4.858861e-07 2.842204e-06
[11] 3.894585e-05 3.093873e-05 5.596079e-05 4.745866e-06 3.471621e-05
[16] 9.529974e-06 2.549836e-05 2.472851e-06 3.613310e-05 2.661318e-05
[21] 3.266909e-06 2.801004e-05 1.355786e-05 1.410627e-05 2.680398e-05
[26] 2.926331e-06 4.597032e-05 5.545104e-06 2.182404e-05 1.600314e-05
[31] 1.873521e-05 1.516446e-05 8.749462e-06 1.029822e-05 1.024195e-06
[36] 4.045374e-06 2.629349e-07 1.044022e-06 1.335284e-05 2.069122e-06
[41] 1.110001e-06 9.984999e-07 1.566153e-05 7.809126e-06 4.187902e-06
[46] 1.131175e-06 9.761206e-07 2.203194e-05 1.024404e-05 9.150965e-06
[51] 7.246792e-07 5.187772e-06 2.125417e-05 6.187476e-06 3.345809e-07
[56] 4.078565e-06 9.090154e-07 4.467505e-06 1.209400e-05 2.549911e-06
[61] 6.402192e-07 2.162315e-05 2.745545e-06 3.023134e-07 1.837861e-07
[66] 7.520668e-06 1.044619e-05 4.925342e-06 1.372307e-08 1.143433e-06
[71] 5.411155e-06 3.859465e-07 3.819651e-05 1.160812e-07 1.298457e-05
[76] 1.331493e-06 5.798680e-06 1.424993e-06 4.517052e-06 8.540747e-07
[81] 3.646920e-06 3.213342e-07 9.509073e-06 7.198229e-06 1.947475e-06
[86] 1.596355e-06 4.703287e-06 1.027749e-06 3.939468e-06 4.175686e-06
[91] 2.130294e-07 2.908103e-06 4.680179e-07 2.518507e-05 5.514685e-06
[96] 1.520936e-06 9.558147e-07 8.031119e-07 9.565530e-06 3.502366e-07
[101] 3.978449e-07 7.365970e-07 4.037584e-06 3.195823e-08 2.245917e-06
[106] 8.653214e-06 3.340653e-06 3.422901e-06 3.429330e-06 7.922096e-06
[111] 1.252333e-05 3.376205e-06 4.519827e-07 1.991174e-05 4.971009e-09
[116] 4.706592e-06 3.979514e-06 2.761323e-06 8.031357e-06 2.912354e-06
[121] 1.201402e-06 2.073066e-06 1.441585e-06 1.038806e-06 1.025597e-07
[126] 4.305095e-06 1.793516e-06 1.942886e-05 2.552095e-06 3.124016e-07
[131] 4.723698e-06 1.777347e-06 1.353918e-06 1.915982e-07 1.969063e-06
[136] 3.574164e-06 6.025727e-07 4.196950e-06 7.774765e-06 5.468903e-06
[141] 6.127434e-06 2.176886e-06 1.512731e-06 9.592457e-07 1.634010e-06
[146] 7.251735e-07 7.257215e-07 5.990886e-06 4.038778e-07 1.643082e-06
[151] 2.035534e-07 1.111574e-06 1.023820e-06 9.099280e-07 1.792999e-06
[156] 6.358758e-06 7.833500e-08 2.128839e-06 1.376704e-06 1.490685e-06
[161] 9.963629e-07 2.407904e-06 7.175435e-06 9.882484e-06 1.599135e-07
[166] 3.119110e-06 2.898764e-07 4.265957e-06 2.300105e-06 8.650273e-07
[171] 1.637100e-06 1.374515e-06 1.929275e-06 4.467939e-07 4.306196e-06
[176] 3.943805e-07 3.603804e-07 2.500499e-08 1.203536e-06 9.824900e-07
[181] 5.764171e-06 3.722316e-06 1.094726e-06 3.144150e-07 8.876999e-07
[186] 1.603973e-06 1.520387e-06 9.911443e-07 5.186462e-06 4.871285e-06
[191] 1.871350e-07 3.540283e-06 2.196833e-06 4.045558e-06 9.568849e-07
[196] 8.842660e-07 2.499341e-06 7.177495e-07 2.363584e-06 1.817383e-06
[201] 3.409729e-06 2.980997e-06 1.877688e-06 2.099233e-06 1.546078e-06
[206] 1.226289e-06 8.608292e-07 3.531317e-07 2.568527e-06 3.181200e-06
[211] 3.942181e-07 1.028139e-06 3.377191e-06 3.400018e-06 3.083032e-06
[216] 1.191071e-06 1.458837e-06 2.439175e-06 4.386297e-08 1.867893e-06
[221] 2.340478e-06 7.541396e-06 1.500040e-06 1.845054e-06 1.257203e-06
[226] 1.048690e-06 3.615838e-06 1.420233e-06 6.044627e-07 1.395952e-07
[231] 6.724309e-07 2.422301e-07 1.719830e-07 2.829431e-08 8.354740e-07
[236] 1.375562e-06 2.041195e-06 1.869246e-06 5.169749e-07 5.909555e-06
[241] 7.688436e-08 3.558940e-07 2.575175e-06 9.609639e-07 7.003396e-07
[246] 5.174324e-07 1.731361e-07 3.867787e-07 9.575031e-07 6.780069e-07
[251] 2.165411e-06 1.764202e-06 2.644855e-06 1.637249e-06 1.847604e-07
[256] 1.005561e-06 3.834489e-06 1.774572e-06 4.968026e-06 4.656734e-07
[261] 3.249629e-07 4.204297e-06 4.455744e-06 2.707859e-06 9.536798e-07
[266] 2.396016e-06 4.258082e-07 2.746482e-06 3.256086e-07 1.492057e-06
[271] 1.626215e-06 1.260311e-06 3.173307e-06 7.732212e-07 5.625956e-07
[276] 1.347441e-06 2.743910e-06 3.434430e-07 1.172912e-07 7.074138e-07
[281] 1.131205e-06 2.139677e-07 6.256024e-07 6.037360e-07 4.189536e-07
[286] 7.876670e-07 6.912387e-08 3.167214e-06 1.112959e-05 4.827937e-06
[291] 2.901158e-06 1.892583e-06 7.971765e-07 1.121035e-06 1.432921e-06
[296] 3.287233e-07 2.881035e-08 1.961023e-06 1.245539e-06 5.489052e-07
[301] 2.165726e-06 8.667332e-08 4.580764e-07 5.040012e-07 9.838686e-08
[306] 4.961214e-07 5.347486e-06 4.153301e-07 1.580464e-06 2.070754e-06
[311] 4.861497e-07 1.272960e-06 5.085840e-07 3.750485e-07 1.675240e-06
[316] 2.021421e-06 4.237195e-07 6.184812e-06 1.559600e-06 1.949076e-06
[321] 3.081308e-07 7.129546e-07 5.369744e-06 5.433083e-07 1.437612e-06
[326] 3.928421e-07 3.829615e-06 2.419185e-06 1.587418e-06 2.593770e-07
[331] 1.127209e-06 1.113657e-08 3.674937e-07 1.451666e-06 4.354155e-07
[336] 1.991433e-07 1.178210e-06 3.567715e-07 2.296343e-07 4.345969e-06
[341] 1.454127e-06 2.455649e-06 2.420296e-07 7.318454e-07 2.110670e-06
[346] 2.516250e-06 1.341530e-07 1.087917e-06 3.929244e-06 2.869520e-06
[351] 9.838289e-07 8.627713e-08 1.392718e-06 4.981826e-07 3.912375e-07
[356] 1.055383e-06 2.541880e-08 3.735316e-07 5.081159e-07 1.101433e-07
[361] 3.410751e-07 4.054773e-07 2.326970e-07 4.400094e-07 1.143762e-06
[366] 2.446548e-07 2.554590e-06 7.510453e-07 2.399275e-06 8.851337e-07
[371] 1.051394e-07 2.432325e-06 4.743852e-06 1.715277e-06 2.353329e-08
[376] 6.783868e-08 5.995487e-07 1.279876e-06 8.971283e-08 3.156443e-07
[381] 1.272227e-06 8.461864e-07 1.537232e-07 6.827120e-09 1.058175e-06
[386] 6.124367e-07 7.960954e-07 1.887484e-06 6.828129e-07 5.303651e-07
[391] 2.778868e-07 9.717114e-07 7.726605e-07 1.130162e-06 2.930885e-07
[396] 1.029086e-06 1.353979e-06 3.847589e-06 4.349185e-08 5.596422e-07
[401] 4.867997e-07 7.570494e-08 5.383307e-07 1.362230e-06 2.147983e-06
[406] 3.036163e-07 1.038514e-06 2.373981e-06 6.482802e-07 2.278563e-06
[411] 2.882943e-06 5.404553e-06 5.149033e-07 6.095125e-07 1.942673e-07
[416] 7.359352e-07 6.981873e-07 2.851943e-06 3.944650e-06 1.331665e-06
[421] 4.606712e-08 4.687925e-06 8.840460e-07 2.680602e-06 1.989614e-07
[426] 2.323707e-06 1.205701e-07 4.040861e-06 7.876441e-07 1.777330e-06
[431] 2.876116e-06 2.549698e-06 2.457676e-06 4.843658e-07 3.141083e-06
[436] 3.751655e-07 2.161238e-06 7.837105e-08 1.005931e-06 7.321329e-07
[441] 1.321647e-06 4.188145e-07 2.004301e-06 3.980933e-07 2.826959e-07
[446] 1.222239e-06 5.622234e-07 6.304032e-07 2.511202e-07 3.417297e-07
[451] 6.430428e-07 1.018007e-06 5.935589e-07 1.526962e-06 1.154062e-06
[456] 2.960345e-06 2.839976e-07 2.528991e-07 6.043715e-07 3.599998e-07
[461] 4.916826e-08 1.538880e-06 1.808688e-06 1.497764e-06 1.071321e-06
[466] 1.568183e-06 7.661388e-07 1.415028e-07 3.374707e-07 5.382156e-07
[471] 4.992099e-08 5.523788e-07 5.482330e-08 9.414456e-07 9.018230e-07
[476] 2.216323e-06 1.916050e-07 7.535269e-07 9.602358e-07 6.688289e-07
[481] 9.111200e-07 1.275702e-06 2.891614e-06 7.129158e-07 1.050494e-06
[486] 1.973429e-06 1.482889e-06 4.131679e-07 2.123804e-08 1.718579e-06
[491] 3.914666e-07 1.532796e-08 5.883765e-08 1.403683e-07 3.421103e-07
[496] 1.180069e-06 2.817140e-06 2.652723e-08 2.931184e-07 5.386962e-07
[501] 1.217347e-06 5.527330e-07 8.614499e-07 1.620084e-07 4.259965e-07
[506] 1.038808e-07 4.059829e-07 6.991565e-07 1.782047e-06 2.722444e-06
[511] 1.500266e-06 2.728052e-06 1.236646e-06 3.289627e-06 1.221511e-06
[516] 8.776526e-07 4.033588e-07 1.039834e-06 4.204454e-07 1.478822e-06
[521] 1.510771e-06 2.763630e-08 1.260131e-06 1.236795e-06 5.885742e-07
[526] 2.877629e-07 8.424701e-08 4.266131e-07 8.043533e-07 3.739373e-07
[531] 1.082556e-06 4.536921e-06 2.518963e-07 1.286060e-06 9.140629e-08
[536] 7.598044e-07 4.374094e-07 7.006229e-07 9.536070e-09 6.366232e-07
[541] 2.081419e-06 7.213360e-07 1.168697e-06 5.968274e-07 3.644345e-07
[546] 4.962335e-08 2.842009e-06 5.143414e-08 1.888335e-06 1.835257e-07
[551] 3.061109e-06 1.389006e-06 3.210798e-07 1.544901e-06 2.413174e-06
[556] 1.875225e-06 5.378049e-07 1.074961e-06 2.202703e-07 5.360010e-08
[561] 8.417027e-07 3.640502e-06 2.054712e-07 6.437274e-07 4.219490e-08
[566] 3.896428e-07 3.302832e-08 4.248181e-07 7.320146e-08 3.453579e-06
[571] 7.958291e-07 5.953610e-08 5.521287e-07 4.420293e-07 1.437915e-06
[576] 7.000268e-07 1.632128e-06 3.195926e-07 5.847964e-06 2.153563e-08
[581] 1.210033e-06 5.658886e-07 1.765407e-06 2.336319e-06 6.317818e-07
[586] 1.273950e-06 6.901538e-07 2.204141e-06 3.877509e-07 5.200911e-07
[591] 2.577398e-07 1.696433e-06 3.539514e-06 2.704487e-07 9.992932e-07
[596] 1.035605e-06 1.872452e-06 1.406562e-09 1.045303e-06 1.424177e-07
[601] 2.833522e-06 9.045269e-07 4.343849e-06 2.962860e-06 7.748120e-08
[606] 2.091930e-07 3.315114e-07 2.993290e-06 1.620536e-06 1.019590e-07
[611] 3.784749e-06 6.930116e-07 5.558716e-07 2.365869e-06 1.679491e-07
[616] 2.454529e-07 4.330972e-07 1.471205e-07 2.726142e-08 2.159322e-07
[621] 6.133715e-07 4.703198e-07 2.969435e-07 6.552715e-09 6.777161e-07
[626] 9.761309e-07 1.972226e-07 6.233914e-07 4.205508e-07 2.740301e-07
[631] 2.462746e-07 3.067952e-08 6.290147e-07 2.444720e-07 8.185620e-08
[636] 2.337050e-07 1.802752e-07 1.153807e-06 3.527223e-09 5.787525e-07
[641] 9.977950e-07 3.069683e-07 1.091506e-06 8.479972e-08 1.771806e-06
[646] 1.047760e-06 3.507547e-07 1.407716e-06 5.194399e-08 3.637448e-07
[651] 1.952543e-07 1.480665e-06 6.821210e-07 1.316571e-06 1.993811e-06
[656] 1.840361e-07 5.891286e-07 1.571237e-07 1.233076e-06 2.747943e-07
[661] 5.432716e-07 1.351792e-06 1.465773e-07 1.479947e-06 8.736956e-08
[666] 1.301816e-07 6.916740e-07 8.308014e-07 5.157964e-09 8.696798e-07
[671] 4.093915e-06 2.624219e-06 3.104841e-07 4.134048e-06 9.352785e-07
[676] 9.940686e-08 6.149323e-08 1.161610e-06 3.222613e-07 8.826188e-08
[681] 4.725428e-07 4.947443e-07 5.279443e-07 1.655355e-06 1.836287e-07
[686] 7.293344e-07 6.469719e-08 5.150705e-07 1.906004e-07 1.509171e-06
[691] 2.172002e-07 1.062586e-06 4.592812e-07 8.618551e-07 1.344537e-07
[696] 6.796330e-07 6.041345e-07 1.100336e-06 5.747218e-06 2.089479e-07
[701] 7.246499e-08 6.644895e-07 1.274174e-06 8.619720e-08 2.032798e-07
[706] 6.414356e-07 2.784750e-06 2.945654e-06 4.614014e-08 7.904604e-08
[711] 3.900580e-07 7.304214e-07 1.875543e-07 3.648057e-07 1.508380e-06
[716] 3.976937e-07 2.989596e-07 3.095397e-07 2.106713e-07 6.030584e-07
[721] 1.287366e-07 1.036354e-07 4.104600e-07 1.331430e-06 1.908815e-07
[726] 1.226220e-06 1.015095e-06 1.961420e-06 1.274999e-06 7.866583e-08
[731] 4.081853e-07 7.478491e-07 1.868064e-06 8.272699e-07 1.931323e-08
[736] 1.319941e-06 1.105954e-07 5.800595e-07 4.198532e-07 4.255441e-08
[741] 5.230398e-07 2.606859e-07 4.831427e-08 4.362788e-07 9.029600e-07
[746] 1.213857e-06 3.148976e-07 7.256524e-07 2.781299e-07 9.158008e-09
[751] 3.114854e-06 6.920770e-07 7.331520e-07 1.319531e-07 1.623831e-06
[756] 2.201078e-06 8.370628e-07 3.394184e-07 3.612167e-07 5.743438e-07
[761] 7.112594e-07 3.555794e-06 4.786160e-07 2.290813e-06 2.542959e-06
[766] 7.185214e-07 2.423714e-08 9.848696e-07 4.723749e-07 8.663974e-08
[771] 5.565499e-06 7.044132e-07 2.254063e-07 1.277635e-06 9.616810e-07
[776] 3.777997e-07 2.486249e-07 1.142592e-06 2.493870e-08 4.664773e-07
[781] 1.510764e-07 1.586817e-06 9.817684e-07 6.285731e-07 6.084704e-07
[786] 6.341465e-07 1.152303e-06 3.102906e-07 1.142843e-06 2.665074e-07
[791] 5.222654e-07 1.367444e-06 1.127108e-06 1.543340e-08 4.634625e-07
[796] 2.112980e-06 8.533873e-08 1.981431e-06 2.554278e-07 2.133047e-07
[801] 6.427294e-07 5.085612e-08 2.290058e-08 1.768596e-07 1.059795e-07
[806] 1.554789e-06 1.756642e-06 1.425879e-07 2.827707e-07 1.910350e-06
[811] 3.310978e-07 1.769346e-07 2.650799e-07 1.316958e-06 1.756133e-07
[816] 9.051636e-07 9.253989e-08 1.123078e-07 4.750002e-07 3.575790e-07
[821] 7.235725e-07 2.479710e-08 8.559790e-07 8.064224e-07 5.909411e-08
[826] 1.131818e-06 1.364590e-06 1.943854e-06 5.801768e-07 8.282995e-08
[831] 6.727621e-07 8.987273e-08 2.712725e-08 3.370265e-08 2.151132e-06
[836] 1.123762e-07 2.851922e-07 1.169409e-06 1.140905e-06 7.147793e-07
[841] 6.584942e-07 8.296300e-08 1.895396e-06 1.204904e-06 1.312195e-06
[846] 4.940867e-07 1.199040e-06 1.779440e-06 7.020622e-07 2.255369e-07
[851] 2.604846e-06 9.554584e-08 1.096614e-07 2.392945e-07 1.331878e-06
[856] 2.093128e-06 5.234437e-07 1.250999e-06 1.522128e-06 3.476161e-07
[861] 2.265957e-07 4.878305e-07 2.618454e-07 1.288774e-06 8.887389e-07
[866] 4.735625e-07 2.479167e-07 4.060119e-07 7.702569e-08 3.812658e-07
[871] 6.280462e-08 1.190747e-07 4.470253e-07 3.352538e-07 4.570067e-07
[876] 1.842460e-06 2.499017e-06 1.695963e-06 5.772858e-07 7.707996e-07
[881] 3.930137e-07 1.755567e-06 7.679567e-07 1.561913e-06 2.044242e-08
[886] 4.644276e-07 3.618537e-07 9.411915e-07 3.131472e-07 4.097266e-07
[891] 7.482576e-07 1.482229e-06 8.245840e-08 1.862751e-07 3.759147e-08
[896] 1.238754e-06 5.621271e-09 2.395958e-07 2.764923e-07 4.518725e-07
[901] 2.914979e-07 1.393009e-06 1.797100e-07 1.454692e-06 2.885785e-07
[906] 9.944368e-08 3.663705e-07 5.531889e-07 2.445437e-07 1.117050e-06
[911] 9.358026e-08 6.552465e-07 2.569937e-07 3.291702e-07 2.263695e-06
[916] 9.479159e-07 1.372714e-08 2.789606e-06 1.617695e-06 1.407695e-06
[921] 7.292855e-07 7.483723e-07 6.677874e-07 1.410257e-06 1.317200e-06
[926] 1.647236e-06 1.093356e-06 2.061155e-07 9.770346e-07 1.800180e-06
[931] 8.802692e-08 9.598965e-08 3.452526e-07 2.154554e-07 2.098093e-08
[936] 5.254696e-07 2.659232e-07 3.674454e-06 5.284009e-07 3.937752e-08
[941] 1.478995e-06 1.732461e-07 3.654843e-07 7.662978e-08 3.462226e-07
[946] 3.765467e-08 6.860832e-07 1.180588e-06 1.868737e-07 7.656038e-07
[951] 2.761105e-07 2.230294e-06 8.379878e-07 7.472797e-08 1.116265e-07
[956] 5.316675e-07 2.392956e-07 3.322860e-07 1.828206e-08 1.070970e-06
[961] 6.085975e-07 7.332825e-07 1.148538e-06 1.756325e-06 5.531494e-07
[966] 7.003003e-07 9.266686e-07 7.383492e-07 1.914163e-07 1.881072e-06
[971] 4.354380e-07 9.421187e-07 1.674263e-06 1.671963e-06 1.971351e-07
[976] 1.186000e-06 7.459475e-07 2.019184e-07 1.251132e-06 1.523789e-06
[981] 6.679457e-08 1.208951e-06 9.505215e-07 2.710029e-07 2.517138e-06
[986] 1.678458e-07 1.699785e-07 1.136079e-06 7.636140e-07 5.519102e-07
[991] 1.356813e-06 1.973783e-07 4.860015e-09 9.750418e-07 1.522762e-06
[996] 4.665610e-09 8.755351e-07 9.922952e-07 1.732018e-06
$estimates$arrival.degree
[1] 100 100 2 100 2 100 100 2 100 100 2 2 100 100 100 100 100 100
[19] 2 100 100 2 2 2 100 100 2 100 2 2 2 100 100 2 100 2
[37] 2 100 2 2 100 2 100 100 2 100 100 100 2 2 100 100 100 100
[55] 100 2 2 100 100 100 2 100 2 100 100 100 100 100 100 100 100 100
[73] 2 100 100 100 2 2 2 100 2 2 2 100 100 100 2 2 100 100
[91] 2 100 100 100 100 2 2 2 2 2 100 100 2 100 100 100 2 100
[109] 2 100 100 2 100 2 100 100 2 100 2 2 2 2 100 100 100 100
[127] 100 100 100 2 100 100 2 100 2 100 100 100 2 2 100 2 100 100
[145] 2 100 2 100 100 2 100 100 2 2 100 100 100 100 100 100 2 2
[163] 100 100 100 100 2 2 2 2 100 100 2 100 2 2 100 100 2 2
[181] 100 2 2 2 2 100 100 100 2 100 100 100 2 2 100 100 100 2
[199] 2 100 100 2 2 100 100 2 100 100 2 100 100 100 100 100 2 2
[217] 100 100 100 100 100 2 100 2 2 2 2 2 100 100 100 100 100 2
[235] 2 100 100 100 100 100 100 100 100 100 2 2 2 2 100 100 100 2
[253] 100 100 2 100 100 100 2 2 2 2 2 100 100 100 2 2 100 2
[271] 2 2 2 100 100 100 100 100 2 100 100 100 2 100 100 2 2 2
[289] 100 100 100 100 100 100 2 100 100 100 2 2 100 100 2 100 100 2
[307] 100 2 2 2 100 2 100 100 100 100 100 100 2 2 100 2 100 100
[325] 100 100 100 100 100 2 100 2 100 100 100 100 100 2 100 100 2 2
[343] 100 100 100 2 100 100 100 2 2 2 2 100 100 100 2 100 100 100
[361] 100 2 100 2 100 2 100 2 2 2 2 100 100 100 2 100 2 100
[379] 100 2 100 100 2 100 100 2 100 100 2 100 2 100 2 100 2 100
[397] 2 2 2 100 100 2 2 2 2 2 100 100 100 2 2 2 2 2
[415] 100 100 2 100 2 100 2 2 100 2 100 100 2 2 100 100 100 2
[433] 100 100 2 2 2 2 2 100 2 2 100 100 2 2 100 100 100 2
[451] 100 2 100 100 100 2 2 100 2 2 2 2 2 100 100 100 2 100
[469] 2 100 2 100 100 2 100 100 2 2 100 2 100 100 2 2 100 2
[487] 2 100 100 2 100 100 2 100 2 100 100 2 100 2 100 100 100 100
[505] 2 2 2 100 2 2 100 100 100 100 2 2 100 100 100 2 2 100
[523] 100 2 100 2 2 100 100 2 100 100 100 2 100 100 100 2 2 2
[541] 2 2 2 2 2 2 100 100 100 100 100 100 2 100 2 100 100 2
[559] 2 2 2 2 2 100 100 2 100 2 2 100 100 2 2 2 2 100
[577] 100 100 100 100 100 2 100 100 100 100 100 100 2 100 100 2 100 2
[595] 100 2 100 2 100 2 2 100 100 2 100 100 100 2 2 2 100 2
[613] 100 100 100 100 2 100 2 2 2 100 2 100 100 2 2 100 100 100
[631] 100 2 100 100 100 100 100 100 2 100 2 2 2 2 2 100 100 100
[649] 100 2 100 2 2 2 2 2 100 100 2 100 100 2 2 100 100 100
[667] 100 2 2 2 100 2 100 2 2 100 100 2 2 100 100 2 2 2
[685] 100 100 2 100 2 100 100 100 2 2 2 2 100 100 100 100 100 100
[703] 2 100 2 100 100 100 100 2 100 2 100 100 100 100 100 2 2 100
[721] 2 2 100 2 100 2 2 100 100 100 2 100 100 2 100 100 2 2
[739] 100 100 100 100 2 2 100 100 100 100 100 100 2 2 2 100 2 2
[757] 2 100 100 2 100 100 2 100 2 100 100 100 100 2 100 2 2 2
[775] 2 100 100 100 2 100 2 100 100 2 100 100 100 2 100 2 2 100
[793] 2 2 2 100 100 2 100 2 100 2 100 100 100 100 2 100 2 100
[811] 100 2 100 100 100 2 2 2 2 2 100 2 2 100 2 2 2 100
[829] 100 2 100 100 100 100 100 100 100 100 100 2 100 100 100 100 100 100
[847] 2 2 100 2 100 2 100 100 100 2 2 100 2 2 2 2 2 100
[865] 2 2 100 100 2 2 2 100 2 100 100 2 100 100 2 100 2 100
[883] 2 100 100 2 2 100 2 2 2 2 100 2 2 100 100 100 2 100
[901] 100 2 2 2 100 100 2 100 100 2 100 2 100 2 100 2 100 2
[919] 100 100 2 100 100 2 100 2 100 2 2 100 2 2 100 100 100 100
[937] 2 2 2 2 100 100 2 2 2 100 100 2 2 100 100 100 100 2
[955] 2 2 2 100 2 2 100 100 100 100 2 100 2 100 2 100 2 100
[973] 100 2 2 2 2 2 2 2 2 2 100 100 2 100 2 100 100 2
[991] 2 100 100 2 2 100 2 2 2 100
$estimates$convergence
[1] NA 0 NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
[26] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
[51] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA
[76] NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA NA 0
$estimates$likelihood
[1] -11795.47
attr(,"class")
[1] "rds-object"
$max1
[1] Inf
$min
[1] Inf
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