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

Set of tools for 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-clumped 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 nonlinear models; (7) generalized estimating equations for cluster correlated data.

Version:	0.1.11
Imports:	methods, stats, utils, graphics, numDeriv, Rfast, splines, Formula, MASS, statmod, SuppDists
Suggests:	aplore3, ISLR, pscl, GLMsData
Published:	2024-04-12
Author:	Luis Hernando Vanegas [aut, cre], Luz Marina Rondón [aut], Gilberto A. Paula [aut]
Maintainer:	Luis Hernando Vanegas <lhvanegasp at unal.edu.co>
BugReports:	https://github.com/lhvanegasp/glmtoolbox/issues
License:	GPL-2 | GPL-3
URL:	https://mlgs.netlify.app/
NeedsCompilation:	no
In views:	MixedModels
CRAN checks:	glmtoolbox results

Documentation:

Reference manual:

glmtoolbox.pdf

Downloads:

Package source:	glmtoolbox_0.1.11.tar.gz
Windows binaries:	r-devel: glmtoolbox_0.1.11.zip, r-release: glmtoolbox_0.1.11.zip, r-oldrel: glmtoolbox_0.1.11.zip
macOS binaries:	r-release (arm64): glmtoolbox_0.1.11.tgz, r-oldrel (arm64): glmtoolbox_0.1.11.tgz, r-release (x86_64): glmtoolbox_0.1.11.tgz, r-oldrel (x86_64): glmtoolbox_0.1.11.tgz
Old sources:	glmtoolbox archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=glmtoolbox to link to this page.