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.
- Version1.1.6
- R versionunknown
- LicenseLGPL-2
- Needs compilation?No
- preference citation info
- Last release09/09/2020
Documentation
Team
Michael Kane
Denise Esserman
Show author detailsRolesContributorBriana Cameron
Show author detailsRolesAuthor, Copyright holder
Insights
Last 30 days
This package has been downloaded 180 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 5 times.
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Last 365 days
This package has been downloaded 2,967 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Jul 21, 2024 with 276 downloads.
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Dependencies
- Imports2 packages
- Suggests1 package