## PowerTOST: Power and Sample size based on two one-sided t-tests (TOST) for
(bio)equivalence studies

Contains functions to calculate power and sample size for
various study designs used for bioequivalence studies.
See function known.designs() for study designs covered.
Moreover the package contains functions for power and sample size
based on 'expected' power in case of uncertain (estimated) variability.
—–
Added are functions for the power and sample size for the ratio of
two means with normally distributed data on the original scale
(based on Fieller's confidence ('fiducial') interval).
—–
Contains further functions for power and sample size calculations
based on non-inferiority t-test. This is not a TOST procedure but
eventually useful if the question of 'non-superiority' must be
evaluated.
The power and sample size calculations based on non-inferiority
test may also performed via 'expected' power in case of uncertain
(estimated) variability.
—–
Contains functions power.scABEL() and sampleN.scABEL() to
calculate power and sample size for the BE decision via scaled
(widened) BE acceptance limits based on simulations.
Contains functions power.RSABE() and sampleN.RSABE()
to calculate power and sample size for the BE decision via
reference scaled ABE criterion according to the FDA procedure
based on simulations.
Contains further functions power.NTIDFDA() and sampleN.NTIDFDA()
to calculate power and sample size for the BE decision via
the FDA procedure for NTID's based on simulations.

Version: |
1.1-13 |

Depends: |
mvtnorm |

Published: |
2014-08-12 |

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 |

In views: |
ClinicalTrials |

CRAN checks: |
PowerTOST results |

#### Downloads:

#### Reverse dependencies: