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.

Version: | 0.4-3 |

Imports: | PowerTOST, stats, mvtnorm |

Suggests: | graphics |

Published: | 2015-11-26 |

Author: | Detlew Labes [aut, cre], Helmut Schuetz [ctb] |

Maintainer: | Detlew Labes <DetlewLabes at gmx.de> |

License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |

NeedsCompilation: | no |

Materials: | NEWS |

CRAN checks: | Power2Stage results |

Reference manual: | Power2Stage.pdf |

Package source: | Power2Stage_0.4-3.tar.gz |

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 Snow Leopard binaries: | r-release: Power2Stage_0.4-3.tgz, r-oldrel: Power2Stage_0.3-1.tgz |

OS X Mavericks binaries: | r-release: Power2Stage_0.4-3.tgz |

Old sources: | Power2Stage archive |