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 Kane [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.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

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