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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 |
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 |
Reference manual: | preference.pdf |
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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These binaries (installable software) and packages are in development.
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