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gsDesignNB  

Sample Size and Simulation for Negative Binomial Outcomes
View on CRAN: Click here


Download and install gsDesignNB package within the R console
Install from CRAN:
install.packages("gsDesignNB")

Install from Github:
library("remotes")
install_github("cran/gsDesignNB")

Install by package version:
library("remotes")
install_version("gsDesignNB", "0.3.2")



Attach the package and use:
library("gsDesignNB")
Maintained by
Keaven Anderson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-02-16
Latest Update: 2026-02-16
Description:
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.
How to cite:
Keaven Anderson (2026). gsDesignNB: Sample Size and Simulation for Negative Binomial Outcomes. R package version 0.3.2, https://cran.r-project.org/web/packages/gsDesignNB. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-10-22 15:40), 0.2.6 (2026-02-16 18:40), 0.3.2 (2026-07-06 22:00)
Other packages that cited gsDesignNB R package
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Complete documentation for gsDesignNB
Functions, R codes and Examples using the gsDesignNB R package
Full gsDesignNB package functions and examples
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