# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "gsDesignNB" in publications use:' type: software license: GPL-3.0-or-later title: 'gsDesignNB: Sample Size and Simulation for Negative Binomial Outcomes' version: 0.3.2 doi: 10.32614/CRAN.package.gsDesignNB abstract: 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) and Friede and Schmidli (2010) as well as extensions for score-test sizing and gaps between events. Supports group sequential monitoring by building on the 'gsDesign' package. Includes recurrent-event simulation utilities (including seasonal rates), interim data truncation, Wald and score-test inference for rate ratios, and blinded or unblinded information estimation and sample size re-estimation. authors: - family-names: Anderson given-names: Keaven email: keaven_anderson@merck.com - family-names: Zhang given-names: Hongtao - family-names: Maes given-names: Andrea repository: https://keaven.r-universe.dev repository-code: https://github.com/keaven/gsDesignNB commit: 22931f2a7c360fd08d189dd587b2d0edcef5807c url: https://keaven.github.io/gsDesignNB/ date-released: '2026-05-01' contact: - family-names: Anderson given-names: Keaven email: keaven_anderson@merck.com