Functions to obtain the operational characteristics of bioequivalence studies with 2-stage designs via simulations - Contains a function to calculate power and sample-size distribution of 2-stage bioequivalence (BE) studies with a 2x2 crossover design according to Potvin et al. / Montague et al. modified to include a futility Nmax and modified to do the sample size estimation step with PE and mse of stage 1. - Contains further a function with the modifications according to Karalis & Macheras which use both point estimate (PE) and mse from stage 1 also for the power monitoring steps. - The third function power.2stage.fC() calculates power and sample-size distribution of 2-stage BE studies with a futility criterion for the PE or CI of T/R from stage 1. - The fourth function power.2stage.GS() calculates power of non-adaptive group sequential (2-stage) BE studies. - The fifth function power.2stage.p() calculates power and sample size distribution of 2-stage BE studies with 2 parallel groups. This function has a sibling power.2stage.pAF(), which performs exactly as described in A.Fuglsang 2014 - Another function power.2stage.ssr() allows the power calculation for 2-stage studies with (blinded) interim sample size re-estimation.
|Imports:||PowerTOST, stats, mvtnorm|
|Author:||Detlew Labes [aut, cre], Helmut Schuetz [ctb]|
|Maintainer:||Detlew Labes <DetlewLabes at gmx.de>|
|License:||GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]|
|CRAN checks:||Power2Stage results|
|Windows binaries:||r-devel: Power2Stage_0.4-3.zip, r-release: Power2Stage_0.4-3.zip, r-oldrel: Power2Stage_0.4-3.zip|
|OS X Mavericks binaries:||r-release: Power2Stage_0.4-3.tgz, r-oldrel: Power2Stage_0.4-3.tgz|
|Old sources:||Power2Stage archive|
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