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