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 |
| 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 |
Linking:
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