glmtoolbox: Set of Tools to Data Analysis using Generalized Linear Models

Set of tools to the statistical analysis of data using: (1) normal linear models; (2) generalized linear models; (3) negative binomial regression models as alternative to the Poisson regression models under the presence of overdispersion; (4) beta-binomial and random-cumpled binomial regression models as alternative to the binomial regression models under the presence of overdispersion; (5) Zero-inflated and zero-altered regression models to deal with zero-excess in count data;(6) generalized estimating equations for cluster correlated data.

Version: 0.1.4
Imports: methods, stats, utils, graphics, numDeriv, Rfast, splines, Formula
Suggests: aplore3, MASS, ISLR, pscl
Published: 2022-09-30
Author: Luis Hernando Vanegas [aut, cre], Luz Marina Rondón [aut], Gilberto A. Paula [aut]
Maintainer: Luis Hernando Vanegas <lhvanegasp at unal.edu.co>
License: GPL-2 | GPL-3
NeedsCompilation: no
CRAN checks: glmtoolbox results

Documentation:

Reference manual: glmtoolbox.pdf

Downloads:

Package source: glmtoolbox_0.1.4.tar.gz
Windows binaries: r-devel: glmtoolbox_0.1.3.zip, r-release: glmtoolbox_0.1.3.zip, r-oldrel: glmtoolbox_0.1.3.zip
macOS binaries: r-release (arm64): glmtoolbox_0.1.3.tgz, r-oldrel (arm64): glmtoolbox_0.1.3.tgz, r-release (x86_64): glmtoolbox_0.1.3.tgz, r-oldrel (x86_64): glmtoolbox_0.1.3.tgz
Old sources: glmtoolbox archive

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