Package: qountstat
Type: Package
Title: Statistical Analysis of Count Data and Quantal Data
Version: 0.1.1
Authors@R: c(
    	person("Benjamin", "Daniels", comment = c(ORCID = "0000-0002-8344-6141"),  email = "Benjamin.Daniels@uba.de", role = c("cre", "ctb"),),
	person("Christian", "Dietrich", role = "aut"),
	person("Thomas", "Graeff", role = "ctb"),
	person("Magnus", "Wang", role = "ctb"))
Maintainer: Benjamin Daniels <Benjamin.Daniels@uba.de>
Description: 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.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
Imports: multcomp
Suggests: knitr, rmarkdown, testthat
RoxygenNote: 7.3.2
Depends: R (>= 2.10)
NeedsCompilation: no
Packaged: 2026-09-26 08:57:40 UTC; root
Author: Benjamin Daniels [cre, ctb]
        (<https://orcid.org/0000-0002-8344-6141>), Christian Dietrich
        [aut], Thomas Graeff [ctb], Magnus Wang [ctb]
Repository: https://cran.r-universe.dev
Date/Publication: 2025-02-21 11:30:25 UTC
RemoteUrl: https://github.com/cran/qountstat
RemoteRef: HEAD
RemoteSha: 717ec49e271babe71866797e835f75937b4dd23c