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.

Getting started

Package details

AuthorLuis Hernando Vanegas [aut, cre], Luz Marina Rondón [aut], Gilberto A. Paula [aut]
MaintainerLuis Hernando Vanegas <lhvanegasp@unal.edu.co>
LicenseGPL-2 | GPL-3
Version0.1.12
URL https://mlgs.netlify.app/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("glmtoolbox")

Try the glmtoolbox package in your browser

Any scripts or data that you put into this service are public.

glmtoolbox documentation built on Sept. 11, 2024, 7:32 p.m.