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: | 0.1.2 |
| Suggests: | knitr, testthat, ggplot2 |
| Published: | 2017-11-28 |
| 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 |
| Materials: | README NEWS |
| CRAN checks: | preference results |
| Reference manual: | preference.pdf |
| Vignettes: |
The preference Package Vignette |
| Package source: | preference_0.1.2.tar.gz |
| Windows binaries: | r-devel: preference_0.1.2.zip, r-release: preference_0.1.2.zip, r-oldrel: preference_0.1.2.zip |
| OS X binaries: | r-release: preference_0.1.2.tgz, r-oldrel: preference_0.1.2.tgz |
| Old sources: | preference archive |
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