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.


Reference manual

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install.packages("glmtoolbox")

0.1.12 by Luis Hernando Vanegas, 2 years ago


https://mlgs.netlify.app/


Report a bug at https://github.com/lhvanegasp/glmtoolbox/issues


Browse source code at https://github.com/cran/glmtoolbox


Authors: Luis Hernando Vanegas [aut, cre] , Luz Marina Rondón [aut] , Gilberto A. Paula [aut]


Documentation:   PDF Manual  


GPL-2 | GPL-3 license


Imports methods, stats, utils, graphics, numDeriv, Rfast, splines, Formula, MASS, statmod, SuppDists, broom

Suggests aplore3, ISLR, pscl, GLMsData


Suggested by RESI, broom.helpers, insight, marginaleffects, parameters.


See at CRAN