The longpower package contains functions for computing power and sample size for linear models of longitudinal data based on the formula due to Liu and Liang (1997) and Diggle et al (2002). Either formula is expressed in terms of marginal model or Generalized Estimating Equations (GEE) parameters. This package contains functions which translate pilot mixed effect model parameters (e.g. random intercept and/or slope) into marginal model parameters so that the formulas of Diggle et al or Liu and Liang formula can be applied to produce sample size calculations for two sample longitudinal designs assuming known variance.

Version: | 1.0-16.1 |

Depends: | R (≥ 3.0.0), lme4 (≥ 1.0), nlme |

Suggests: | knitr, gee, testthat, methods |

Published: | 2018-09-11 |

Author: | Michael C. Donohue, Anthony C. Gamst, Steven D. Edland |

Maintainer: | Michael C. Donohue <mdonohue at usc.edu> |

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

URL: | https://bitbucket.org/mdonohue/longpower |

NeedsCompilation: | no |

Citation: | longpower citation info |

In views: | ClinicalTrials |

CRAN checks: | longpower results |

Reference manual: | longpower.pdf |

Vignettes: |
Power calculations for longitudinal data |

Package source: | longpower_1.0-16.1.tar.gz |

Windows binaries: | r-devel: longpower_1.0-16.1.zip, r-release: longpower_1.0-16.1.zip, r-oldrel: longpower_1.0-16.1.zip |

OS X binaries: | r-release: longpower_1.0-16.1.tgz, r-oldrel: longpower_1.0-16.1.tgz |

Old sources: | longpower archive |

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