preference (1.0.2)

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2-Stage Preference Trial Design and Analysis.

Design and analyze two-stage randomized trials with a continuous outcome measure. The package contains functions to compute the required sample size needed to detect a given preference, treatment, and selection effect; alternatively, the package contains functions that can report the study power given a fixed sample size. Finally, analysis functions are provided to test each effect using either summary data (i.e. means, variances) or raw study data.

Maintainer: Michael Kane
Author(s): Briana Cameron [aut, cph], Denise Esserman [ctb], Michael Kane [cre, ctb]

License: LGPL-2

Uses: ggplot2, tidyr, testthat

Released about 1 year ago.

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