gsDesignNB
Sample Size and Simulation for Negative Binomial Outcomes
Provides tools for planning and simulating recurrent event trials with overdispersed count endpoints analyzed using negative binomial (or Poisson) rate models. Implements sample size and power calculations for fixed designs with variable accrual, dropout, maximum follow-up, and event gaps, including methods of Zhu and Lakkis (2014) <doi:10.1002/sim.5947> and Friede and Schmidli (2010) <doi:10.3414/ME09-02-0060>. Supports group sequential designs by adding calendar-time analysis schedules compatible with the 'gsDesign' package and by estimating blinded information at interim looks. Includes simulation utilities for recurrent events (including seasonal rates), interim data truncation, and Wald-based inference for treatment rate ratios.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.2.6 |
rolling source/ R- | gsDesignNB_0.2.6.tar.gz |
2.5 MiB |
0.2.6 |
rolling linux/jammy R-4.5 | gsDesignNB_0.2.6.tar.gz |
2.4 MiB |
0.2.6 |
rolling linux/noble R-4.5 | gsDesignNB_0.2.6.tar.gz |
2.4 MiB |
0.2.6 |
latest source/ R- | gsDesignNB_0.2.6.tar.gz |
2.5 MiB |
0.2.6 |
latest linux/jammy R-4.5 | gsDesignNB_0.2.6.tar.gz |
2.4 MiB |
0.2.6 |
latest linux/noble R-4.5 | gsDesignNB_0.2.6.tar.gz |
2.4 MiB |
0.2.6 |
2026-04-23 source/ R- | gsDesignNB_0.2.6.tar.gz |
2.5 MiB |
0.2.6 |
2026-04-09 windows/windows R-4.5 | gsDesignNB_0.2.6.zip |
2.5 MiB |