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cff-version: 1.2.0
message: 'To cite package "qountstat" in publications use:'
type: software
license: MIT
title: 'qountstat: Statistical Analysis of Count Data and Quantal Data'
version: 0.1.1
doi: 10.32614/CRAN.package.qountstat
abstract: 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) <https://doi.org/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) <https://doi.org/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) <https://doi.org/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.
authors:
- family-names: Daniels
  given-names: Benjamin
  email: Benjamin.Daniels@uba.de
  orcid: https://orcid.org/0000-0002-8344-6141
- family-names: Dietrich
  given-names: Christian
repository: https://CRAN.R-project.org/package=qountstat
date-released: '2025-02-21'
contact:
- family-names: Daniels
  given-names: Benjamin
  email: Benjamin.Daniels@uba.de
  orcid: https://orcid.org/0000-0002-8344-6141