glmtoolbox: Set of Tools to Data Analysis using Generalized Linear Models (original) (raw)
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: | 0.1.12 |
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Imports: | methods, stats, utils, graphics, numDeriv, Rfast, splines, Formula, MASS, statmod, SuppDists, broom |
Suggests: | aplore3, ISLR, pscl, GLMsData |
Published: | 2024-07-25 |
DOI: | 10.32614/CRAN.package.glmtoolbox |
Author: | Luis Hernando Vanegas [aut, cre], Luz Marina Rondón [aut], Gilberto A. Paula [aut] |
Maintainer: | Luis Hernando Vanegas |
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 |
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