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 |