Statistical Analysis of Count Data and Quantal Data R package qountstat version 0.1.1 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 a Quasi-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. Software Depends: R (>= 2.10) Imports: multcomp Suggests: knitr, rmarkdown, testthat Benjamin Daniels <Benjamin.Daniels@uba.de> Comprehensive R Archive Network (CRAN) Benjamin Daniels [cre, ctb] (ORCID: <https://orcid.org/0000-0002-8344-6141>), Christian Dietrich [aut], Thomas Graeff [ctb], Magnus Wang [ctb] MIT + file LICENSE (https://CRAN.R-project.org/package=qountstat/LICENSE) 2025-02-21 application/tgz https://CRAN.R-project.org/package=qountstat doi:10.32614/CRAN.package.qountstat