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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>.
Getting started
Browse package contents
Package details |
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| Author | Briana Cameron [aut, cph], Denise Esserman [ctb], Michael Kane [cre, ctb] (<https://orcid.org/0000-0003-1899-6662>) |
| Maintainer | Michael Kane <michael.kane@yale.edu> |
| License | LGPL-2 |
| Version | 1.1.6 |
| URL | https://github.com/kaneplusplus/preference |
| Package repository | View on CRAN |
| Installation |
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