Description Usage Arguments Examples
Creates a "simon"-object which can be used in the function getSolutions
to identify possible designs.
1 | setupSimon(alpha = 0.05, beta = 0.05, p0 = 0.1, p1 = 0.3)
|
alpha |
the maximal type I error rate. |
beta |
the maximal type II error rate. |
p0 |
the response probability under the null hypothesis. |
p1 |
the response probability under the alternative hypothesis. |
1 2 3 4 5 | #Create a "simon"-object
simon <- setupSimon()
#Calculate designs for the given "simon"-object.
designs <- getSolutions(simon)$Solutions
designs
|
Loading required package: Rcpp
ID r1 n1 r n p0 p1 enP0 enP1 petP0 petP1 Alpha Beta Admissible
1 0 0 14 7 41 0.1 0.3 34.82 40.82 0.2288 0.0068 0.0468 0.0498 0
2 1 1 20 7 41 0.1 0.3 32.77 40.84 0.3917 0.0076 0.0467 0.0491 0
3 2 2 25 7 41 0.1 0.3 32.41 40.86 0.5371 0.0090 0.0467 0.0486 1
4 3 2 23 8 46 0.1 0.3 32.38 45.64 0.5920 0.0157 0.0345 0.0475 0
5 4 3 27 8 46 0.1 0.3 32.36 45.62 0.7179 0.0202 0.0339 0.0488 0
6 5 2 22 8 47 0.1 0.3 31.50 46.48 0.6200 0.0207 0.0379 0.0454 0
7 6 3 26 8 47 0.1 0.3 31.44 46.45 0.7409 0.0260 0.0368 0.0476 0
8 7 2 21 8 48 0.1 0.3 30.49 47.27 0.6484 0.0271 0.0410 0.0462 0
9 8 3 25 8 48 0.1 0.3 30.44 47.24 0.7636 0.0332 0.0394 0.0494 0
10 9 2 20 8 49 0.1 0.3 29.37 47.97 0.6769 0.0355 0.0438 0.0499 1
Admiss_Start Admiss_End Type
1 NA NA
2 NA NA
3 0.2752 1.0000 MiniMax
4 NA NA
5 NA NA
6 NA NA
7 NA NA
8 NA NA
9 NA NA
10 0.0000 0.2752 Optimal
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