preference: 2-Stage Clinical 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: 0.1.0
Suggests: knitr, covr, testthat, ggplot2, devtools
Published: 2017-06-16
Author: Briana Cameron [aut, cph, cre], Denise Esserman [ctb], Michael Kane [ctb]
Maintainer: Briana Cameron <briana.cameron at>
License: LGPL-2
NeedsCompilation: no
Materials: README NEWS
CRAN checks: preference results


Reference manual: preference.pdf
Vignettes: The preference Package Vignette
Package source: preference_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X El Capitan binaries: r-release: preference_0.1.0.tgz
OS X Mavericks binaries: r-oldrel: preference_0.1.0.tgz


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