preference: 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.

Version: 1.0.2
Imports: ggplot2, tidyr
Suggests: testthat
Published: 2018-11-29
Author: Briana Cameron [aut, cph], Denise Esserman [ctb], Michael Kane [cre, ctb]
Maintainer: Michael Kane <michael.kane at>
License: LGPL-2
NeedsCompilation: no
Materials: README NEWS
CRAN checks: preference results


Reference manual: preference.pdf
Package source: preference_1.0.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: preference_1.0.2.tgz, r-oldrel: preference_1.0.2.tgz
Old sources: preference archive


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