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qountstat
View on CRAN: Click
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Download and install qountstat package within the R console
Install from CRAN:
install.packages("qountstat")
Install from Github:
library("remotes")
install_github("cran/qountstat")
Install by package version:
library("remotes")
install_version("qountstat", "0.1.1")
Attach the package and use:
library("qountstat")
Maintained by
Benjamin Daniels
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.qountstat . qountstat results . qountstat.pdf . qountstat_0.1.1.tar.gz . qountstat_0.1.1.zip . qountstat_0.1.1.zip . qountstat_0.1.1.zip . qountstat_0.1.1.tgz . qountstat_0.1.1.tgz . qountstat_0.1.1.tgz . qountstat_0.1.1.tgz . qountstat_0.1.1.tgz . qountstat_0.1.1.tgz . https://CRAN.R-project.org/package=qountstat .
First Published: 2025-02-21
Latest Update: 2025-02-21
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.
How to cite:
Benjamin Daniels (2025). qountstat: Statistical Analysis of Count Data and Quantal Data. R package version 0.1.1, https://cran.r-project.org/web/packages/qountstat. Accessed 03 Apr. 2025.
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