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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 <doi:10.18637/jss.v094.c02>.

Version:1.1.6
Imports:ggplot2,tidyr
Suggests:testthat
Published:2020-09-09
DOI:10.32614/CRAN.package.preference
Author:Briana Cameron [aut, cph], Denise Esserman [ctb], Michael KaneORCID iD [cre, ctb]
Maintainer:Michael Kane <michael.kane at yale.edu>
BugReports:https://github.com/kaneplusplus/preference/issues
License:LGPL-2
URL:https://github.com/kaneplusplus/preference
NeedsCompilation:no
Citation:preference citation info
Materials:README,NEWS
In views:CausalInference
CRAN checks:preference results

Documentation:

Reference manual:preference.html ,preference.pdf

Downloads:

Package source: preference_1.1.6.tar.gz
Windows binaries: r-devel:preference_1.1.6.zip, r-release:preference_1.1.6.zip, r-oldrel:preference_1.1.6.zip
macOS binaries: r-release (arm64):preference_1.1.6.tgz, r-oldrel (arm64):preference_1.1.6.tgz, r-release (x86_64):preference_1.1.6.tgz, r-oldrel (x86_64):preference_1.1.6.tgz
Old sources: preference archive

Linking:

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