Nothing
tests/testthat/_snaps/monte_carlo_fixtures.md
In robust2sls: Outlier Robust Two-Stage Least Squares Inference and Testing
generate_param() works correctly
$structural
$structural$mean
[,1]
[1,] 0.00
[2,] 0.00
[3,] 0.00
[4,] 0.74
[5,] 0.13
[6,] 0.66
[7,] 0.71
[8,] 0.46
$structural$cov
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8]
[1,] 1.0000 0.2636 0.1044 0.0000 0.0000 0.0000 0.0000 0.0000
[2,] 0.2636 0.8765 0.4356 0.0000 0.0000 0.0000 0.0000 0.0000
[3,] 0.1044 0.4356 1.1933 0.0000 0.0000 0.0000 0.0000 0.0000
[4,] 0.0000 0.0000 0.0000 2.0718 -1.3645 -0.6586 -0.0775 1.4605
[5,] 0.0000 0.0000 0.0000 -1.3645 3.0173 0.3181 -0.2227 0.4211
[6,] 0.0000 0.0000 0.0000 -0.6586 0.3181 1.1973 -1.1569 -0.2533
[7,] 0.0000 0.0000 0.0000 -0.0775 -0.2227 -1.1569 2.1569 -0.3381
[8,] 0.0000 0.0000 0.0000 1.4605 0.4211 -0.2533 -0.3381 2.1077
$params
$params$beta
[,1]
[1,] 0.01
[2,] 0.21
[3,] 0.91
[4,] 0.61
[5,] 0.38
$params$sigma
[1] 1
$params$Pi
[,1] [,2] [,3] [,4] [,5]
[1,] 1 0 0 -0.13 -0.93
[2,] 0 1 0 0.95 -0.14
[3,] 0 0 1 0.92 0.78
[4,] 0 0 0 0.14 0.19
[5,] 0 0 0 0.19 1.00
[6,] 0 0 0 -0.31 -0.20
$params$Omega2
[,1]
[1,] 0.28
[2,] 0.04
$params$Omega
[,1]
[1,] 0.00
[2,] 0.00
[3,] 0.00
[4,] 0.28
[5,] 0.04
$params$Sigma2_half
[,1] [,2]
[1,] 0.91 0.22
[2,] 0.22 1.07
$params$Sigma_half
[,1] [,2] [,3] [,4] [,5]
[1,] 0 0 0 0.00 0.00
[2,] 0 0 0 0.00 0.00
[3,] 0 0 0 0.00 0.00
[4,] 0 0 0 0.91 0.22
[5,] 0 0 0 0.22 1.07
$params$mean_z
[,1]
[1,] 0.74
[2,] 0.13
[3,] 0.66
[4,] 0.71
[5,] 0.46
$params$cov_z
[,1] [,2] [,3] [,4] [,5]
[1,] 2.0718 -1.3645 -0.6586 -0.0775 1.4605
[2,] -1.3645 3.0173 0.3181 -0.2227 0.4211
[3,] -0.6586 0.3181 1.1973 -1.1569 -0.2533
[4,] -0.0775 -0.2227 -1.1569 2.1569 -0.3381
[5,] 1.4605 0.4211 -0.2533 -0.3381 2.1077
$params$Ezz
[,1] [,2] [,3] [,4] [,5]
[1,] 2.6194 -1.2683 -0.1702 0.4479 1.8009
[2,] -1.2683 3.0342 0.4039 -0.1304 0.4809
[3,] -0.1702 0.4039 1.6329 -0.6883 0.0503
[4,] 0.4479 -0.1304 -0.6883 2.6610 -0.0115
[5,] 1.8009 0.4809 0.0503 -0.0115 2.3193
$params$Mzz
[,1] [,2] [,3] [,4] [,5] [,6]
[1,] 1.00 0.7400 0.1300 0.6600 0.7100 0.4600
[2,] 0.74 2.6194 -1.2683 -0.1702 0.4479 1.8009
[3,] 0.13 -1.2683 3.0342 0.4039 -0.1304 0.4809
[4,] 0.66 -0.1702 0.4039 1.6329 -0.6883 0.0503
[5,] 0.71 0.4479 -0.1304 -0.6883 2.6610 -0.0115
[6,] 0.46 1.8009 0.4809 0.0503 -0.0115 2.3193
$params$Mxx_tilde_inv
[,1] [,2] [,3] [,4] [,5]
[1,] 27.77782 56.56671 58.01835 -94.82079 13.111081
[2,] 56.56671 125.03392 126.69627 -205.95344 28.997432
[3,] 58.01835 126.69627 129.60090 -209.90574 28.929967
[4,] -94.82079 -205.95344 -209.90574 341.61103 -47.562665
[5,] 13.11108 28.99743 28.92997 -47.56266 7.201359
$setting
$setting$call
p <- generate_param(3, 2, 3)
$setting$intercept
[1] TRUE
$setting$formula
y ~ x1 + x2 + x3 + x4 + x5 | x1 + x2 + x3 + z4 + z5 + z6
NULL
$setting$dx1
[1] 3
$setting$dx2
[1] 2
$setting$dz2
[1] 3
$names
$names$x1
[1] "x1" "x2" "x3"
$names$x2
[1] "x4" "x5"
$names$x
[1] "x1" "x2" "x3" "x4" "x5"
$names$z2
[1] "z4" "z5" "z6"
$names$z
[1] "x1" "x2" "x3" "z4" "z5" "z6"
$names$r
[1] "r1" "r2" "r3" "r4" "r5"
$names$u
[1] "u"
$structural
$structural$mean
[,1]
[1,] 0.00
[2,] 0.00
[3,] 0.00
[4,] 0.74
[5,] 0.13
[6,] 0.66
[7,] 0.71
[8,] 0.46
[9,] 0.72
$structural$cov
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9]
[1,] 1.0000 0.2636 0.1044 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
[2,] 0.2636 0.8765 0.4356 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
[3,] 0.1044 0.4356 1.1933 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
[4,] 0.0000 0.0000 0.0000 3.4923 -0.4745 -0.7020 -0.7554 -0.0975 -1.0981
[5,] 0.0000 0.0000 0.0000 -0.4745 1.8771 -0.6139 0.4759 -0.0815 1.2661
[6,] 0.0000 0.0000 0.0000 -0.7020 -0.6139 1.4415 -0.8572 0.6683 0.3435
[7,] 0.0000 0.0000 0.0000 -0.7554 0.4759 -0.8572 2.9731 0.3207 -0.2847
[8,] 0.0000 0.0000 0.0000 -0.0975 -0.0815 0.6683 0.3207 3.5094 -0.3237
[9,] 0.0000 0.0000 0.0000 -1.0981 1.2661 0.3435 -0.2847 -0.3237 2.3827
$params
$params$beta
[,1]
[1,] 0.97
[2,] 0.62
[3,] 0.33
[4,] 0.35
[5,] 0.40
$params$sigma
[1] 1
$params$Pi
[,1] [,2] [,3] [,4] [,5]
[1,] 1 0 0 0.57 -0.92
[2,] 0 1 0 0.50 0.35
[3,] 0 0 1 -0.66 -0.48
[4,] 0 0 0 0.92 0.50
[5,] 0 0 0 0.50 0.39
[6,] 0 0 0 0.13 0.70
$params$Omega2
[,1]
[1,] 0.28
[2,] 0.04
$params$Omega
[,1]
[1,] 0.00
[2,] 0.00
[3,] 0.00
[4,] 0.28
[5,] 0.04
$params$Sigma2_half
[,1] [,2]
[1,] 0.91 0.22
[2,] 0.22 1.07
$params$Sigma_half
[,1] [,2] [,3] [,4] [,5]
[1,] 0 0 0 0.00 0.00
[2,] 0 0 0 0.00 0.00
[3,] 0 0 0 0.00 0.00
[4,] 0 0 0 0.91 0.22
[5,] 0 0 0 0.22 1.07
$params$mean_z
[,1]
[1,] 0.74
[2,] 0.13
[3,] 0.66
[4,] 0.71
[5,] 0.46
[6,] 0.72
$params$cov_z
[,1] [,2] [,3] [,4] [,5] [,6]
[1,] 3.4923 -0.4745 -0.7020 -0.7554 -0.0975 -1.0981
[2,] -0.4745 1.8771 -0.6139 0.4759 -0.0815 1.2661
[3,] -0.7020 -0.6139 1.4415 -0.8572 0.6683 0.3435
[4,] -0.7554 0.4759 -0.8572 2.9731 0.3207 -0.2847
[5,] -0.0975 -0.0815 0.6683 0.3207 3.5094 -0.3237
[6,] -1.0981 1.2661 0.3435 -0.2847 -0.3237 2.3827
$params$Ezz
[,1] [,2] [,3] [,4] [,5] [,6]
[1,] 4.0399 -0.3783 -0.2136 -0.2300 0.2429 -0.5653
[2,] -0.3783 1.8940 -0.5281 0.5682 -0.0217 1.3597
[3,] -0.2136 -0.5281 1.8771 -0.3886 0.9719 0.8187
[4,] -0.2300 0.5682 -0.3886 3.4772 0.6473 0.2265
[5,] 0.2429 -0.0217 0.9719 0.6473 3.7210 0.0075
[6,] -0.5653 1.3597 0.8187 0.2265 0.0075 2.9011
$params$Mzz
[,1] [,2] [,3] [,4] [,5] [,6]
[1,] 4.0399 -0.3783 -0.2136 -0.2300 0.2429 -0.5653
[2,] -0.3783 1.8940 -0.5281 0.5682 -0.0217 1.3597
[3,] -0.2136 -0.5281 1.8771 -0.3886 0.9719 0.8187
[4,] -0.2300 0.5682 -0.3886 3.4772 0.6473 0.2265
[5,] 0.2429 -0.0217 0.9719 0.6473 3.7210 0.0075
[6,] -0.5653 1.3597 0.8187 0.2265 0.0075 2.9011
$params$Mxx_tilde_inv
[,1] [,2] [,3] [,4] [,5]
[1,] 4.457763 -1.9147127 -1.3108422 -2.0404645 3.302479
[2,] -1.914713 1.8755930 0.7476771 0.7512822 -1.689730
[3,] -1.310842 0.7476771 1.0376832 0.6980113 -1.042788
[4,] -2.040465 0.7512822 0.6980113 1.1150904 -1.524301
[5,] 3.302479 -1.6897302 -1.0427885 -1.5243013 2.646552
$setting
$setting$call
p <- generate_param(3, 2, 3, intercept = FALSE)
$setting$intercept
[1] FALSE
$setting$formula
y ~ x1 + x2 + x3 + x4 + x5 | x1 + x2 + x3 + z4 + z5 + z6
NULL
$setting$dx1
[1] 3
$setting$dx2
[1] 2
$setting$dz2
[1] 3
$names
$names$x1
[1] "x1" "x2" "x3"
$names$x2
[1] "x4" "x5"
$names$x
[1] "x1" "x2" "x3" "x4" "x5"
$names$z2
[1] "z4" "z5" "z6"
$names$z
[1] "x1" "x2" "x3" "z4" "z5" "z6"
$names$r
[1] "r1" "r2" "r3" "r4" "r5"
$names$u
[1] "u"
generate_data() works correctly
$data
y x1 x2 x3 x4 x5 u x1
1 -4.4397621 1 2.76336712 -1.70236319 -0.57680894 -3.13552308 -1.93756650 1
2 2.1610346 1 0.42608257 1.61725139 2.74624580 0.79433302 -1.38719797 1
3 1.3768474 1 1.75248886 0.84653332 0.63040289 -0.61329907 0.07698732 1
4 -0.7791954 1 1.33228410 0.01601284 0.38448076 0.67853084 -1.57592170 1
5 0.6824948 1 1.52915131 -0.63373560 1.60976636 -1.24542414 0.41937613 1
6 2.5442678 1 -0.07790191 0.29532420 2.18763642 3.14677288 -0.24834974 1
7 -0.7094904 1 2.32655889 -2.22831159 0.96366204 0.53849658 0.02723322 1
8 2.3476149 1 0.20750831 0.48325238 2.39177153 4.18752151 -1.19596036 1
9 -3.7060752 1 2.35269449 -3.40695788 -0.13512897 0.45294187 -1.19949862 1
10 1.5487827 1 0.84341740 1.01543922 0.33338558 0.21853530 0.15120670 1
11 -4.0817569 1 2.52447368 -2.36584289 -0.86221494 -4.73381676 -0.14417787 1
12 -4.8450329 1 3.65018882 -3.20925549 -0.04040629 -3.93715101 -1.18038480 1
13 5.7884510 1 -0.73545059 3.02020032 2.56708516 2.88187560 0.52347868 1
14 -2.7549911 1 0.04843068 -0.70290188 -1.27919571 -3.47458730 -0.03486831 1
15 0.6294381 1 -0.07061413 -1.03126105 -0.11994927 -0.08218654 1.67711461 1
16 0.2012658 1 1.74557101 -0.02546591 0.25505394 0.83108309 -0.62352457 1
17 2.1662604 1 -0.04009883 0.54281385 1.72522211 1.99042559 -0.13802667 1
18 7.6839558 1 -2.12619652 5.02550178 2.32931020 2.48763265 1.18107082 1
19 1.5485666 1 -2.97789827 2.11157737 -0.23845619 2.24471506 -0.46514364 1
20 -2.8050681 1 2.78671448 -2.09923608 -0.46805955 -3.47881649 0.11749329 1
21 4.3117663 1 0.75374835 2.26908187 2.60178354 1.60023006 -0.11656074 1
22 2.3237841 1 -2.05386141 2.12629288 0.12105562 3.50162018 -0.59429112 1
23 2.6616389 1 1.19187391 1.43034980 3.04799800 -0.50659139 -0.56704702 1
24 -0.3096338 1 2.49833823 -1.34796514 -0.01672331 -0.62879009 0.63150489 1
25 -2.2088943 1 3.38527383 -3.19887136 0.46157899 -2.53762139 0.66390409 1
26 4.0332549 1 0.43567408 1.54170851 2.08220044 0.45927730 1.08414095 1
27 1.6886270 1 0.80630690 0.85579557 2.40444907 -0.58980065 -0.51206114 1
28 -0.5824789 1 -1.49766156 2.49258203 -1.23604010 -0.74442550 -1.50935350 1
29 1.2713350 1 -0.04446220 -1.75737456 0.33370391 3.43509490 1.36098744 1
30 2.4568037 1 0.07631662 1.89942540 1.53559543 1.90019967 -0.95648895 1
x2 x3 z4 z5 z6 r1 r2 r3
1 2.76336712 -1.70236319 0.38208961 0.32188553 1.71508954 0 0 0
2 0.42608257 1.61725139 0.85566400 -0.10590989 0.87973824 0 0 0
3 1.75248886 0.84653332 0.54340632 0.51881146 2.29196994 0 0 0
4 1.33228410 0.01601284 -0.84674344 3.00277826 0.96285073 0 0 0
5 1.52915131 -0.63373560 1.04512639 -0.49118050 0.85651902 0 0 0
6 -0.07790191 0.29532420 -1.44458154 3.28709759 -1.21052201 0 0 0
7 2.32655889 -2.22831159 -0.43111462 2.44700458 0.83924235 0 0 0
8 0.20750831 0.48325238 -0.12962514 2.73982051 0.06562703 0 0 0
9 2.35269449 -3.40695788 -2.39564287 4.31685537 -0.76289699 0 0 0
10 0.84341740 1.01543922 -0.52129514 0.92731057 0.51290488 0 0 0
11 2.52447368 -2.36584289 0.87266359 -0.12988592 1.01897483 0 0 0
12 3.65018882 -3.20925549 -0.84232601 1.51280300 1.37821943 0 0 0
13 -0.73545059 3.02020032 1.34985486 0.29642484 0.85143382 0 0 0
14 0.04843068 -0.70290188 0.72042112 -0.02889617 -1.34753447 0 0 0
15 -0.07061413 -1.03126105 0.25046132 1.15725886 -1.72611808 0 0 0
16 1.74557101 -0.02546591 0.47752220 1.38661352 1.91837987 0 0 0
17 -0.04009883 0.54281385 0.12576002 2.32300985 -0.17799597 0 0 0
18 -2.12619652 5.02550178 2.57581028 -0.79170353 0.82886407 0 0 0
19 -2.97789827 2.11157737 3.32097221 0.05393202 -1.67829024 0 0 0
20 2.78671448 -2.09923608 1.04053875 -0.63807510 1.50092330 0 0 0
21 0.75374835 2.26908187 -1.04515950 1.27980622 1.01774449 0 0 0
22 -2.05386141 2.12629288 1.33960262 1.32810307 -1.39272967 0 0 0
23 1.19187391 1.43034980 1.74449942 -0.43161856 2.50367593 0 0 0
24 2.49833823 -1.34796514 1.16728491 0.91057749 2.37207055 0 0 0
25 3.38527383 -3.19887136 -0.06495806 -0.47072702 0.84305749 0 0 0
26 0.43567408 1.54170851 0.04880683 0.61136766 0.58970540 0 0 0
27 0.80630690 0.85579557 0.92037355 -0.44531483 0.81093369 0 0 0
28 -1.49766156 2.49258203 1.37828681 -0.37355660 -0.88593044 0 0 0
29 -0.04446220 -1.75737456 -1.64757613 4.50454780 -2.39122838 0 0 0
30 0.07631662 1.89942540 0.41899743 1.04053344 0.79064692 0 0 0
r4 r5
1 -1.08880661 -0.54227304
2 1.15664485 0.64180988
3 -1.14741257 -0.26191129
4 -0.91942101 -0.86676626
5 1.08263687 0.85688111
6 1.32237602 0.58078225
7 0.78906806 1.33505353
8 1.39797245 2.06756948
9 0.17290193 0.35548363
10 -1.21627222 -0.25111238
11 -0.73550186 -1.43715819
12 -0.16782952 -1.07002246
13 0.63582302 0.97054576
14 -1.06163950 -2.36703427
15 0.23585395 0.09224098
16 -0.98542180 0.93165967
17 0.87977023 0.10891350
18 -0.09750664 -0.33185385
19 -0.21755719 0.09020416
20 -0.61329604 0.21928508
21 0.14682723 -0.01180605
22 -0.62559564 0.62439763
23 1.34371312 0.07549698
24 -0.62110444 1.04444256
25 0.67841059 2.01311716
26 0.43975409 -0.25496084
27 1.18827255 0.21819236
28 -2.37305992 -2.03381609
29 0.75624338 1.05986833
30 -0.16563718 0.39731861
$beta
[,1]
[1,] 0.01
[2,] 0.21
[3,] 0.91
[4,] 0.61
[5,] 0.38
$Pi
[,1] [,2] [,3] [,4] [,5]
[1,] 1 0 0 -0.13 -0.93
[2,] 0 1 0 0.95 -0.14
[3,] 0 0 1 0.92 0.78
[4,] 0 0 0 0.14 0.19
[5,] 0 0 0 0.19 1.00
[6,] 0 0 0 -0.31 -0.20
mc_grid() works correctly
M n iterations sign_level initial_est split mean_gauge avar
1 4 50 0 0.01 robustified 0.5 0.0200 0.007125496
2 4 100 0 0.01 robustified 0.5 0.0125 0.007125496
3 4 50 0 0.05 robustified 0.5 0.0450 0.021256489
4 4 100 0 0.05 robustified 0.5 0.0475 0.021256489
5 4 50 0 0.01 saturated 0.3 0.0500 0.009239404
6 4 100 0 0.01 saturated 0.3 0.0575 0.009239404
7 4 50 0 0.05 saturated 0.3 0.1350 0.041251545
8 4 100 0 0.05 saturated 0.3 0.1325 0.041251545
9 4 50 0 0.01 saturated 0.4 0.0650 0.007587914
10 4 100 0 0.01 saturated 0.4 0.0250 0.007587914
11 4 50 0 0.05 saturated 0.4 0.1150 0.025630407
12 4 100 0 0.05 saturated 0.4 0.1025 0.025630407
13 4 50 0 0.01 saturated 0.5 0.0350 0.007125496
14 4 100 0 0.01 saturated 0.5 0.0275 0.007125496
15 4 50 0 0.05 saturated 0.5 0.0950 0.021256489
16 4 100 0 0.05 saturated 0.5 0.0875 0.021256489
mean_avar_est var_gauge var_ratio var_ratio2 mean_prop_t mean_prop_p
1 0.007125496 2.666667e-04 1.8712147 1.8712147 1.2565180 0.30465084
2 0.007125496 1.583333e-04 2.2220674 2.2220674 0.8884924 0.56349361
3 0.021256489 1.000000e-04 0.2352223 0.2352223 0.4849972 0.62767833
4 0.021256489 9.166667e-05 0.4312409 0.4312409 0.5144172 0.61958703
5 0.009239404 6.666667e-04 3.6077364 3.6077364 2.9425444 0.12237696
6 0.009239404 8.250000e-04 8.9291475 8.9291475 4.9416460 0.07454483
7 0.041251545 6.333333e-04 0.7676480 0.7676480 2.9592647 0.02132835
8 0.041251545 2.491667e-03 6.0401778 6.0401778 4.0619431 0.01568456
9 0.007587914 1.166667e-03 7.6876644 7.6876644 4.4646406 0.10424570
10 0.007587914 1.100000e-03 14.4967386 14.4967386 2.8699797 0.13090516
11 0.025630407 3.300000e-03 6.4376659 6.4376659 3.0917565 0.16567517
12 0.025630407 4.425000e-03 17.2646496 17.2646496 3.2793030 0.28047297
13 0.007125496 3.666667e-04 2.5729202 2.5729202 2.0941966 0.20410506
14 0.007125496 1.158333e-03 16.2561775 16.2561775 3.2578054 0.11817151
15 0.021256489 3.666667e-04 0.8624817 0.8624817 2.1824874 0.07683462
16 0.021256489 4.891667e-03 23.0125809 23.0125809 3.6009206 0.26005668
prop_size_001 prop_size_005 prop_size_010 mean_count_p count_size_001
1 0.00 0.25 0.25 0.46928567 0.00
2 0.00 0.25 0.25 0.77007535 0.00
3 0.00 0.00 0.00 0.93587109 0.00
4 0.00 0.00 0.00 0.91226632 0.00
5 0.50 0.75 0.75 0.12495316 0.25
6 0.75 0.75 0.75 0.06635765 0.75
7 0.75 0.75 1.00 0.03536083 0.25
8 0.50 1.00 1.00 0.03694641 0.50
9 0.75 0.75 0.75 0.10244519 0.50
10 0.25 0.50 0.50 0.52009616 0.25
11 0.75 0.75 0.75 0.27129558 0.25
12 0.25 0.25 0.75 0.33689976 0.25
13 0.25 0.50 0.50 0.22288259 0.00
14 0.50 0.50 0.50 0.50476785 0.25
15 0.25 0.50 0.50 0.19996519 0.00
16 0.50 0.75 0.75 0.32414878 0.25
count_size_005 count_size_010
1 0.00 0.25
2 0.00 0.25
3 0.00 0.00
4 0.00 0.00
5 0.50 0.75
6 0.75 0.75
7 0.75 0.75
8 0.75 0.75
9 0.75 0.75
10 0.25 0.50
11 0.75 0.75
12 0.25 0.25
13 0.25 0.50
14 0.50 0.50
15 0.25 0.25
16 0.50 0.50
mc_grid() works correctly with convergence setting
M n iterations max sign_level initial_est split mean_gauge avar
1 4 50 convergence NULL 0.05 robustified 0.5 0.055 0.1188556
2 4 100 convergence NULL 0.05 robustified 0.5 0.045 0.1188556
mean_avar_est var_gauge var_ratio var_ratio2 mean_prop_t mean_prop_p
1 0.1188556 1e-04 0.04206786 0.04206786 0.2051045 0.8374905
2 0.1188556 3e-04 0.25240718 0.25240718 0.4350924 0.6668003
prop_size_001 prop_size_005 prop_size_010 mean_count_p count_size_001
1 0 0 0 0.8076133 0
2 0 0 0 0.7163278 0
count_size_005 count_size_010 conv_freq
1 0 0 2, 2
2 0 0 1, 2, 1
M n iterations max sign_level initial_est split mean_gauge avar
1 4 50 convergence 3 0.05 robustified 0.5 0.055 0.1188556
2 4 100 convergence 3 0.05 robustified 0.5 0.045 0.1188556
mean_avar_est var_gauge var_ratio var_ratio2 mean_prop_t mean_prop_p
1 0.1188556 1e-04 0.04206786 0.04206786 0.2051045 0.8374905
2 0.1188556 3e-04 0.25240718 0.25240718 0.4350924 0.6668003
prop_size_001 prop_size_005 prop_size_010 mean_count_p count_size_001
1 0 0 0 0.8076133 0
2 0 0 0 0.7163278 0
count_size_005 count_size_010 conv_freq
1 0 0 2, 2
2 0 0 1, 3
Try the robust2sls package in your browser
Any scripts or data that you put into this service are public.
robust2sls documentation built on Aug. 20, 2026, 5:07 p.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
generate_param() works correctly
$structural
$structural$mean
[,1]
[1,] 0.00
[2,] 0.00
[3,] 0.00
[4,] 0.74
[5,] 0.13
[6,] 0.66
[7,] 0.71
[8,] 0.46
$structural$cov
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8]
[1,] 1.0000 0.2636 0.1044 0.0000 0.0000 0.0000 0.0000 0.0000
[2,] 0.2636 0.8765 0.4356 0.0000 0.0000 0.0000 0.0000 0.0000
[3,] 0.1044 0.4356 1.1933 0.0000 0.0000 0.0000 0.0000 0.0000
[4,] 0.0000 0.0000 0.0000 2.0718 -1.3645 -0.6586 -0.0775 1.4605
[5,] 0.0000 0.0000 0.0000 -1.3645 3.0173 0.3181 -0.2227 0.4211
[6,] 0.0000 0.0000 0.0000 -0.6586 0.3181 1.1973 -1.1569 -0.2533
[7,] 0.0000 0.0000 0.0000 -0.0775 -0.2227 -1.1569 2.1569 -0.3381
[8,] 0.0000 0.0000 0.0000 1.4605 0.4211 -0.2533 -0.3381 2.1077
$params
$params$beta
[,1]
[1,] 0.01
[2,] 0.21
[3,] 0.91
[4,] 0.61
[5,] 0.38
$params$sigma
[1] 1
$params$Pi
[,1] [,2] [,3] [,4] [,5]
[1,] 1 0 0 -0.13 -0.93
[2,] 0 1 0 0.95 -0.14
[3,] 0 0 1 0.92 0.78
[4,] 0 0 0 0.14 0.19
[5,] 0 0 0 0.19 1.00
[6,] 0 0 0 -0.31 -0.20
$params$Omega2
[,1]
[1,] 0.28
[2,] 0.04
$params$Omega
[,1]
[1,] 0.00
[2,] 0.00
[3,] 0.00
[4,] 0.28
[5,] 0.04
$params$Sigma2_half
[,1] [,2]
[1,] 0.91 0.22
[2,] 0.22 1.07
$params$Sigma_half
[,1] [,2] [,3] [,4] [,5]
[1,] 0 0 0 0.00 0.00
[2,] 0 0 0 0.00 0.00
[3,] 0 0 0 0.00 0.00
[4,] 0 0 0 0.91 0.22
[5,] 0 0 0 0.22 1.07
$params$mean_z
[,1]
[1,] 0.74
[2,] 0.13
[3,] 0.66
[4,] 0.71
[5,] 0.46
$params$cov_z
[,1] [,2] [,3] [,4] [,5]
[1,] 2.0718 -1.3645 -0.6586 -0.0775 1.4605
[2,] -1.3645 3.0173 0.3181 -0.2227 0.4211
[3,] -0.6586 0.3181 1.1973 -1.1569 -0.2533
[4,] -0.0775 -0.2227 -1.1569 2.1569 -0.3381
[5,] 1.4605 0.4211 -0.2533 -0.3381 2.1077
$params$Ezz
[,1] [,2] [,3] [,4] [,5]
[1,] 2.6194 -1.2683 -0.1702 0.4479 1.8009
[2,] -1.2683 3.0342 0.4039 -0.1304 0.4809
[3,] -0.1702 0.4039 1.6329 -0.6883 0.0503
[4,] 0.4479 -0.1304 -0.6883 2.6610 -0.0115
[5,] 1.8009 0.4809 0.0503 -0.0115 2.3193
$params$Mzz
[,1] [,2] [,3] [,4] [,5] [,6]
[1,] 1.00 0.7400 0.1300 0.6600 0.7100 0.4600
[2,] 0.74 2.6194 -1.2683 -0.1702 0.4479 1.8009
[3,] 0.13 -1.2683 3.0342 0.4039 -0.1304 0.4809
[4,] 0.66 -0.1702 0.4039 1.6329 -0.6883 0.0503
[5,] 0.71 0.4479 -0.1304 -0.6883 2.6610 -0.0115
[6,] 0.46 1.8009 0.4809 0.0503 -0.0115 2.3193
$params$Mxx_tilde_inv
[,1] [,2] [,3] [,4] [,5]
[1,] 27.77782 56.56671 58.01835 -94.82079 13.111081
[2,] 56.56671 125.03392 126.69627 -205.95344 28.997432
[3,] 58.01835 126.69627 129.60090 -209.90574 28.929967
[4,] -94.82079 -205.95344 -209.90574 341.61103 -47.562665
[5,] 13.11108 28.99743 28.92997 -47.56266 7.201359
$setting
$setting$call
p <- generate_param(3, 2, 3)
$setting$intercept
[1] TRUE
$setting$formula
y ~ x1 + x2 + x3 + x4 + x5 | x1 + x2 + x3 + z4 + z5 + z6
NULL
$setting$dx1
[1] 3
$setting$dx2
[1] 2
$setting$dz2
[1] 3
$names
$names$x1
[1] "x1" "x2" "x3"
$names$x2
[1] "x4" "x5"
$names$x
[1] "x1" "x2" "x3" "x4" "x5"
$names$z2
[1] "z4" "z5" "z6"
$names$z
[1] "x1" "x2" "x3" "z4" "z5" "z6"
$names$r
[1] "r1" "r2" "r3" "r4" "r5"
$names$u
[1] "u"
$structural
$structural$mean
[,1]
[1,] 0.00
[2,] 0.00
[3,] 0.00
[4,] 0.74
[5,] 0.13
[6,] 0.66
[7,] 0.71
[8,] 0.46
[9,] 0.72
$structural$cov
[,1] [,2] [,3] [,4] [,5] [,6] [,7] [,8] [,9]
[1,] 1.0000 0.2636 0.1044 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
[2,] 0.2636 0.8765 0.4356 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
[3,] 0.1044 0.4356 1.1933 0.0000 0.0000 0.0000 0.0000 0.0000 0.0000
[4,] 0.0000 0.0000 0.0000 3.4923 -0.4745 -0.7020 -0.7554 -0.0975 -1.0981
[5,] 0.0000 0.0000 0.0000 -0.4745 1.8771 -0.6139 0.4759 -0.0815 1.2661
[6,] 0.0000 0.0000 0.0000 -0.7020 -0.6139 1.4415 -0.8572 0.6683 0.3435
[7,] 0.0000 0.0000 0.0000 -0.7554 0.4759 -0.8572 2.9731 0.3207 -0.2847
[8,] 0.0000 0.0000 0.0000 -0.0975 -0.0815 0.6683 0.3207 3.5094 -0.3237
[9,] 0.0000 0.0000 0.0000 -1.0981 1.2661 0.3435 -0.2847 -0.3237 2.3827
$params
$params$beta
[,1]
[1,] 0.97
[2,] 0.62
[3,] 0.33
[4,] 0.35
[5,] 0.40
$params$sigma
[1] 1
$params$Pi
[,1] [,2] [,3] [,4] [,5]
[1,] 1 0 0 0.57 -0.92
[2,] 0 1 0 0.50 0.35
[3,] 0 0 1 -0.66 -0.48
[4,] 0 0 0 0.92 0.50
[5,] 0 0 0 0.50 0.39
[6,] 0 0 0 0.13 0.70
$params$Omega2
[,1]
[1,] 0.28
[2,] 0.04
$params$Omega
[,1]
[1,] 0.00
[2,] 0.00
[3,] 0.00
[4,] 0.28
[5,] 0.04
$params$Sigma2_half
[,1] [,2]
[1,] 0.91 0.22
[2,] 0.22 1.07
$params$Sigma_half
[,1] [,2] [,3] [,4] [,5]
[1,] 0 0 0 0.00 0.00
[2,] 0 0 0 0.00 0.00
[3,] 0 0 0 0.00 0.00
[4,] 0 0 0 0.91 0.22
[5,] 0 0 0 0.22 1.07
$params$mean_z
[,1]
[1,] 0.74
[2,] 0.13
[3,] 0.66
[4,] 0.71
[5,] 0.46
[6,] 0.72
$params$cov_z
[,1] [,2] [,3] [,4] [,5] [,6]
[1,] 3.4923 -0.4745 -0.7020 -0.7554 -0.0975 -1.0981
[2,] -0.4745 1.8771 -0.6139 0.4759 -0.0815 1.2661
[3,] -0.7020 -0.6139 1.4415 -0.8572 0.6683 0.3435
[4,] -0.7554 0.4759 -0.8572 2.9731 0.3207 -0.2847
[5,] -0.0975 -0.0815 0.6683 0.3207 3.5094 -0.3237
[6,] -1.0981 1.2661 0.3435 -0.2847 -0.3237 2.3827
$params$Ezz
[,1] [,2] [,3] [,4] [,5] [,6]
[1,] 4.0399 -0.3783 -0.2136 -0.2300 0.2429 -0.5653
[2,] -0.3783 1.8940 -0.5281 0.5682 -0.0217 1.3597
[3,] -0.2136 -0.5281 1.8771 -0.3886 0.9719 0.8187
[4,] -0.2300 0.5682 -0.3886 3.4772 0.6473 0.2265
[5,] 0.2429 -0.0217 0.9719 0.6473 3.7210 0.0075
[6,] -0.5653 1.3597 0.8187 0.2265 0.0075 2.9011
$params$Mzz
[,1] [,2] [,3] [,4] [,5] [,6]
[1,] 4.0399 -0.3783 -0.2136 -0.2300 0.2429 -0.5653
[2,] -0.3783 1.8940 -0.5281 0.5682 -0.0217 1.3597
[3,] -0.2136 -0.5281 1.8771 -0.3886 0.9719 0.8187
[4,] -0.2300 0.5682 -0.3886 3.4772 0.6473 0.2265
[5,] 0.2429 -0.0217 0.9719 0.6473 3.7210 0.0075
[6,] -0.5653 1.3597 0.8187 0.2265 0.0075 2.9011
$params$Mxx_tilde_inv
[,1] [,2] [,3] [,4] [,5]
[1,] 4.457763 -1.9147127 -1.3108422 -2.0404645 3.302479
[2,] -1.914713 1.8755930 0.7476771 0.7512822 -1.689730
[3,] -1.310842 0.7476771 1.0376832 0.6980113 -1.042788
[4,] -2.040465 0.7512822 0.6980113 1.1150904 -1.524301
[5,] 3.302479 -1.6897302 -1.0427885 -1.5243013 2.646552
$setting
$setting$call
p <- generate_param(3, 2, 3, intercept = FALSE)
$setting$intercept
[1] FALSE
$setting$formula
y ~ x1 + x2 + x3 + x4 + x5 | x1 + x2 + x3 + z4 + z5 + z6
NULL
$setting$dx1
[1] 3
$setting$dx2
[1] 2
$setting$dz2
[1] 3
$names
$names$x1
[1] "x1" "x2" "x3"
$names$x2
[1] "x4" "x5"
$names$x
[1] "x1" "x2" "x3" "x4" "x5"
$names$z2
[1] "z4" "z5" "z6"
$names$z
[1] "x1" "x2" "x3" "z4" "z5" "z6"
$names$r
[1] "r1" "r2" "r3" "r4" "r5"
$names$u
[1] "u"
generate_data() works correctly
$data
y x1 x2 x3 x4 x5 u x1
1 -4.4397621 1 2.76336712 -1.70236319 -0.57680894 -3.13552308 -1.93756650 1
2 2.1610346 1 0.42608257 1.61725139 2.74624580 0.79433302 -1.38719797 1
3 1.3768474 1 1.75248886 0.84653332 0.63040289 -0.61329907 0.07698732 1
4 -0.7791954 1 1.33228410 0.01601284 0.38448076 0.67853084 -1.57592170 1
5 0.6824948 1 1.52915131 -0.63373560 1.60976636 -1.24542414 0.41937613 1
6 2.5442678 1 -0.07790191 0.29532420 2.18763642 3.14677288 -0.24834974 1
7 -0.7094904 1 2.32655889 -2.22831159 0.96366204 0.53849658 0.02723322 1
8 2.3476149 1 0.20750831 0.48325238 2.39177153 4.18752151 -1.19596036 1
9 -3.7060752 1 2.35269449 -3.40695788 -0.13512897 0.45294187 -1.19949862 1
10 1.5487827 1 0.84341740 1.01543922 0.33338558 0.21853530 0.15120670 1
11 -4.0817569 1 2.52447368 -2.36584289 -0.86221494 -4.73381676 -0.14417787 1
12 -4.8450329 1 3.65018882 -3.20925549 -0.04040629 -3.93715101 -1.18038480 1
13 5.7884510 1 -0.73545059 3.02020032 2.56708516 2.88187560 0.52347868 1
14 -2.7549911 1 0.04843068 -0.70290188 -1.27919571 -3.47458730 -0.03486831 1
15 0.6294381 1 -0.07061413 -1.03126105 -0.11994927 -0.08218654 1.67711461 1
16 0.2012658 1 1.74557101 -0.02546591 0.25505394 0.83108309 -0.62352457 1
17 2.1662604 1 -0.04009883 0.54281385 1.72522211 1.99042559 -0.13802667 1
18 7.6839558 1 -2.12619652 5.02550178 2.32931020 2.48763265 1.18107082 1
19 1.5485666 1 -2.97789827 2.11157737 -0.23845619 2.24471506 -0.46514364 1
20 -2.8050681 1 2.78671448 -2.09923608 -0.46805955 -3.47881649 0.11749329 1
21 4.3117663 1 0.75374835 2.26908187 2.60178354 1.60023006 -0.11656074 1
22 2.3237841 1 -2.05386141 2.12629288 0.12105562 3.50162018 -0.59429112 1
23 2.6616389 1 1.19187391 1.43034980 3.04799800 -0.50659139 -0.56704702 1
24 -0.3096338 1 2.49833823 -1.34796514 -0.01672331 -0.62879009 0.63150489 1
25 -2.2088943 1 3.38527383 -3.19887136 0.46157899 -2.53762139 0.66390409 1
26 4.0332549 1 0.43567408 1.54170851 2.08220044 0.45927730 1.08414095 1
27 1.6886270 1 0.80630690 0.85579557 2.40444907 -0.58980065 -0.51206114 1
28 -0.5824789 1 -1.49766156 2.49258203 -1.23604010 -0.74442550 -1.50935350 1
29 1.2713350 1 -0.04446220 -1.75737456 0.33370391 3.43509490 1.36098744 1
30 2.4568037 1 0.07631662 1.89942540 1.53559543 1.90019967 -0.95648895 1
x2 x3 z4 z5 z6 r1 r2 r3
1 2.76336712 -1.70236319 0.38208961 0.32188553 1.71508954 0 0 0
2 0.42608257 1.61725139 0.85566400 -0.10590989 0.87973824 0 0 0
3 1.75248886 0.84653332 0.54340632 0.51881146 2.29196994 0 0 0
4 1.33228410 0.01601284 -0.84674344 3.00277826 0.96285073 0 0 0
5 1.52915131 -0.63373560 1.04512639 -0.49118050 0.85651902 0 0 0
6 -0.07790191 0.29532420 -1.44458154 3.28709759 -1.21052201 0 0 0
7 2.32655889 -2.22831159 -0.43111462 2.44700458 0.83924235 0 0 0
8 0.20750831 0.48325238 -0.12962514 2.73982051 0.06562703 0 0 0
9 2.35269449 -3.40695788 -2.39564287 4.31685537 -0.76289699 0 0 0
10 0.84341740 1.01543922 -0.52129514 0.92731057 0.51290488 0 0 0
11 2.52447368 -2.36584289 0.87266359 -0.12988592 1.01897483 0 0 0
12 3.65018882 -3.20925549 -0.84232601 1.51280300 1.37821943 0 0 0
13 -0.73545059 3.02020032 1.34985486 0.29642484 0.85143382 0 0 0
14 0.04843068 -0.70290188 0.72042112 -0.02889617 -1.34753447 0 0 0
15 -0.07061413 -1.03126105 0.25046132 1.15725886 -1.72611808 0 0 0
16 1.74557101 -0.02546591 0.47752220 1.38661352 1.91837987 0 0 0
17 -0.04009883 0.54281385 0.12576002 2.32300985 -0.17799597 0 0 0
18 -2.12619652 5.02550178 2.57581028 -0.79170353 0.82886407 0 0 0
19 -2.97789827 2.11157737 3.32097221 0.05393202 -1.67829024 0 0 0
20 2.78671448 -2.09923608 1.04053875 -0.63807510 1.50092330 0 0 0
21 0.75374835 2.26908187 -1.04515950 1.27980622 1.01774449 0 0 0
22 -2.05386141 2.12629288 1.33960262 1.32810307 -1.39272967 0 0 0
23 1.19187391 1.43034980 1.74449942 -0.43161856 2.50367593 0 0 0
24 2.49833823 -1.34796514 1.16728491 0.91057749 2.37207055 0 0 0
25 3.38527383 -3.19887136 -0.06495806 -0.47072702 0.84305749 0 0 0
26 0.43567408 1.54170851 0.04880683 0.61136766 0.58970540 0 0 0
27 0.80630690 0.85579557 0.92037355 -0.44531483 0.81093369 0 0 0
28 -1.49766156 2.49258203 1.37828681 -0.37355660 -0.88593044 0 0 0
29 -0.04446220 -1.75737456 -1.64757613 4.50454780 -2.39122838 0 0 0
30 0.07631662 1.89942540 0.41899743 1.04053344 0.79064692 0 0 0
r4 r5
1 -1.08880661 -0.54227304
2 1.15664485 0.64180988
3 -1.14741257 -0.26191129
4 -0.91942101 -0.86676626
5 1.08263687 0.85688111
6 1.32237602 0.58078225
7 0.78906806 1.33505353
8 1.39797245 2.06756948
9 0.17290193 0.35548363
10 -1.21627222 -0.25111238
11 -0.73550186 -1.43715819
12 -0.16782952 -1.07002246
13 0.63582302 0.97054576
14 -1.06163950 -2.36703427
15 0.23585395 0.09224098
16 -0.98542180 0.93165967
17 0.87977023 0.10891350
18 -0.09750664 -0.33185385
19 -0.21755719 0.09020416
20 -0.61329604 0.21928508
21 0.14682723 -0.01180605
22 -0.62559564 0.62439763
23 1.34371312 0.07549698
24 -0.62110444 1.04444256
25 0.67841059 2.01311716
26 0.43975409 -0.25496084
27 1.18827255 0.21819236
28 -2.37305992 -2.03381609
29 0.75624338 1.05986833
30 -0.16563718 0.39731861
$beta
[,1]
[1,] 0.01
[2,] 0.21
[3,] 0.91
[4,] 0.61
[5,] 0.38
$Pi
[,1] [,2] [,3] [,4] [,5]
[1,] 1 0 0 -0.13 -0.93
[2,] 0 1 0 0.95 -0.14
[3,] 0 0 1 0.92 0.78
[4,] 0 0 0 0.14 0.19
[5,] 0 0 0 0.19 1.00
[6,] 0 0 0 -0.31 -0.20
mc_grid() works correctly
M n iterations sign_level initial_est split mean_gauge avar
1 4 50 0 0.01 robustified 0.5 0.0200 0.007125496
2 4 100 0 0.01 robustified 0.5 0.0125 0.007125496
3 4 50 0 0.05 robustified 0.5 0.0450 0.021256489
4 4 100 0 0.05 robustified 0.5 0.0475 0.021256489
5 4 50 0 0.01 saturated 0.3 0.0500 0.009239404
6 4 100 0 0.01 saturated 0.3 0.0575 0.009239404
7 4 50 0 0.05 saturated 0.3 0.1350 0.041251545
8 4 100 0 0.05 saturated 0.3 0.1325 0.041251545
9 4 50 0 0.01 saturated 0.4 0.0650 0.007587914
10 4 100 0 0.01 saturated 0.4 0.0250 0.007587914
11 4 50 0 0.05 saturated 0.4 0.1150 0.025630407
12 4 100 0 0.05 saturated 0.4 0.1025 0.025630407
13 4 50 0 0.01 saturated 0.5 0.0350 0.007125496
14 4 100 0 0.01 saturated 0.5 0.0275 0.007125496
15 4 50 0 0.05 saturated 0.5 0.0950 0.021256489
16 4 100 0 0.05 saturated 0.5 0.0875 0.021256489
mean_avar_est var_gauge var_ratio var_ratio2 mean_prop_t mean_prop_p
1 0.007125496 2.666667e-04 1.8712147 1.8712147 1.2565180 0.30465084
2 0.007125496 1.583333e-04 2.2220674 2.2220674 0.8884924 0.56349361
3 0.021256489 1.000000e-04 0.2352223 0.2352223 0.4849972 0.62767833
4 0.021256489 9.166667e-05 0.4312409 0.4312409 0.5144172 0.61958703
5 0.009239404 6.666667e-04 3.6077364 3.6077364 2.9425444 0.12237696
6 0.009239404 8.250000e-04 8.9291475 8.9291475 4.9416460 0.07454483
7 0.041251545 6.333333e-04 0.7676480 0.7676480 2.9592647 0.02132835
8 0.041251545 2.491667e-03 6.0401778 6.0401778 4.0619431 0.01568456
9 0.007587914 1.166667e-03 7.6876644 7.6876644 4.4646406 0.10424570
10 0.007587914 1.100000e-03 14.4967386 14.4967386 2.8699797 0.13090516
11 0.025630407 3.300000e-03 6.4376659 6.4376659 3.0917565 0.16567517
12 0.025630407 4.425000e-03 17.2646496 17.2646496 3.2793030 0.28047297
13 0.007125496 3.666667e-04 2.5729202 2.5729202 2.0941966 0.20410506
14 0.007125496 1.158333e-03 16.2561775 16.2561775 3.2578054 0.11817151
15 0.021256489 3.666667e-04 0.8624817 0.8624817 2.1824874 0.07683462
16 0.021256489 4.891667e-03 23.0125809 23.0125809 3.6009206 0.26005668
prop_size_001 prop_size_005 prop_size_010 mean_count_p count_size_001
1 0.00 0.25 0.25 0.46928567 0.00
2 0.00 0.25 0.25 0.77007535 0.00
3 0.00 0.00 0.00 0.93587109 0.00
4 0.00 0.00 0.00 0.91226632 0.00
5 0.50 0.75 0.75 0.12495316 0.25
6 0.75 0.75 0.75 0.06635765 0.75
7 0.75 0.75 1.00 0.03536083 0.25
8 0.50 1.00 1.00 0.03694641 0.50
9 0.75 0.75 0.75 0.10244519 0.50
10 0.25 0.50 0.50 0.52009616 0.25
11 0.75 0.75 0.75 0.27129558 0.25
12 0.25 0.25 0.75 0.33689976 0.25
13 0.25 0.50 0.50 0.22288259 0.00
14 0.50 0.50 0.50 0.50476785 0.25
15 0.25 0.50 0.50 0.19996519 0.00
16 0.50 0.75 0.75 0.32414878 0.25
count_size_005 count_size_010
1 0.00 0.25
2 0.00 0.25
3 0.00 0.00
4 0.00 0.00
5 0.50 0.75
6 0.75 0.75
7 0.75 0.75
8 0.75 0.75
9 0.75 0.75
10 0.25 0.50
11 0.75 0.75
12 0.25 0.25
13 0.25 0.50
14 0.50 0.50
15 0.25 0.25
16 0.50 0.50
mc_grid() works correctly with convergence setting
M n iterations max sign_level initial_est split mean_gauge avar
1 4 50 convergence NULL 0.05 robustified 0.5 0.055 0.1188556
2 4 100 convergence NULL 0.05 robustified 0.5 0.045 0.1188556
mean_avar_est var_gauge var_ratio var_ratio2 mean_prop_t mean_prop_p
1 0.1188556 1e-04 0.04206786 0.04206786 0.2051045 0.8374905
2 0.1188556 3e-04 0.25240718 0.25240718 0.4350924 0.6668003
prop_size_001 prop_size_005 prop_size_010 mean_count_p count_size_001
1 0 0 0 0.8076133 0
2 0 0 0 0.7163278 0
count_size_005 count_size_010 conv_freq
1 0 0 2, 2
2 0 0 1, 2, 1
M n iterations max sign_level initial_est split mean_gauge avar
1 4 50 convergence 3 0.05 robustified 0.5 0.055 0.1188556
2 4 100 convergence 3 0.05 robustified 0.5 0.045 0.1188556
mean_avar_est var_gauge var_ratio var_ratio2 mean_prop_t mean_prop_p
1 0.1188556 1e-04 0.04206786 0.04206786 0.2051045 0.8374905
2 0.1188556 3e-04 0.25240718 0.25240718 0.4350924 0.6668003
prop_size_001 prop_size_005 prop_size_010 mean_count_p count_size_001
1 0 0 0 0.8076133 0
2 0 0 0 0.7163278 0
count_size_005 count_size_010 conv_freq
1 0 0 2, 2
2 0 0 1, 3
Try the robust2sls package in your browser
Any scripts or data that you put into this service are public.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.