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 regression models as alternative to the binomial regression models under the presence of overdispersion; (5) generalized estimating equations for cluster correlated data.

Version: 0.1.0
Depends: numDeriv, Rfast
Imports: methods, stats, graphics
Suggests: aplore3, MASS, ISLR
Published: 2021-04-13
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

Downloads:

Reference manual: glmtoolbox.pdf
Package source: glmtoolbox_0.1.0.tar.gz
Windows binaries: r-devel: glmtoolbox_0.1.0.zip, r-release: glmtoolbox_0.1.0.zip, r-oldrel: glmtoolbox_0.1.0.zip
macOS binaries: r-release: glmtoolbox_0.1.0.tgz, r-oldrel: glmtoolbox_0.1.0.tgz

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