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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1.6 |
rolling linux/jammy R-4.5 | preference_1.1.6.tar.gz |
144.9 KiB |
1.1.6 |
rolling linux/noble R-4.5 | preference_1.1.6.tar.gz |
144.5 KiB |
1.1.6 |
rolling source/ R- | preference_1.1.6.tar.gz |
34.3 KiB |
1.1.6 |
latest linux/jammy R-4.5 | preference_1.1.6.tar.gz |
144.9 KiB |
1.1.6 |
latest linux/noble R-4.5 | preference_1.1.6.tar.gz |
144.5 KiB |
1.1.6 |
latest source/ R- | preference_1.1.6.tar.gz |
34.3 KiB |
1.1.6 |
2026-04-26 source/ R- | preference_1.1.6.tar.gz |
34.3 KiB |
1.1.6 |
2026-04-23 source/ R- | preference_1.1.6.tar.gz |
34.3 KiB |
1.1.6 |
2026-04-09 windows/windows R-4.5 | preference_1.1.6.zip |
148.6 KiB |
1.1.6 |
2025-04-20 source/ R- | preference_1.1.6.tar.gz |
34.3 KiB |