| simulateIncorrectStoppingTimesFisher | R Documentation | 
Simulate incorrect optional stopping with fisher's exact test's p-value as the stopping rule.
simulateIncorrectStoppingTimesFisher( thetaA, thetaB, alpha, na, nb, maxSimStoptime = 10000, M = 1000, numberForSeed = NULL )
| thetaA | Bernoulli distribution parameter in group A | 
| thetaB | Bernoulli distribution parameter in group B | 
| alpha | Significance level | 
| na | number of observations in group a per data block | 
| nb | number of observations in group b per data block | 
| maxSimStoptime | maximal number of blocks to sample in each experiment | 
| M | Number of simulations to carry out, default 1e3. | 
| numberForSeed | number for seed to set, default NULL. | 
list with stopping times and rejection decisions.
simulateIncorrectStoppingTimesFisher(thetaA = 0.3,
                                     thetaB = 0.3,
                                     alpha = 0.05,
                                     na = 1,
                                     nb = 1,
                                     M = 10,
                                     maxSimStoptime = 100,
                                     numberForSeed = 251)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.