https://bennidaniels.r-universe.devRecent package updates in bennidanielsR-universehttps://github.com/bennidaniels.pnghttps://bennidaniels.r-universe.devMon, 19 Oct 2026 11:01:21 GMTbenjamin.daniels@rwth-aachen.de (Benjamin Daniels)Methods for statistical analysis of count data and quantal data. For the analysis of count data an implementation of the Closure Principle Computational Approach Test ("CPCAT") is provided (Lehmann, R et al. (2016) <doi:10.1007/s00477-015-1079-4>), as well as an implementation of a "Dunnett GLM" approach using either a Quasi-Poisson, a negative binomial or a Poisson regression (Hothorn, L, Kluxen, F (2020) <doi:10.1101/2020.01.15.907881>). For the analysis of quantal data an implementation of the Closure Principle Fisher–Freeman–Halton test ("CPFISH") is provided (Lehmann, R et al. (2018) <doi:10.1007/s00477-017-1392-1>). P-values and no/lowest observed (adverse) effect concentration values are calculated. All implemented methods include further functions to evaluate the power and the minimum detectable difference using a bootstrapping approach. A model-agnostic, simulation-calibrated diagnostic for overdispersion in grouped count data is provided to support the choice between the implemented methods.https://github.com/r-universe/bennidaniels/actions/runs/39407847892Mon, 19 Oct 2026 11:01:21 GMTqountstat0.2.0successhttps://bennidaniels.r-universe.devhttps://github.com/bennidaniels/qountstat