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glmtoolbox  

Set of Tools to Data Analysis using Generalized Linear Models
View on CRAN: Click here


Download and install glmtoolbox package within the R console
Install from CRAN:
install.packages("glmtoolbox")

Install from Github:
library("remotes")
install_github("cran/glmtoolbox")

Install by package version:
library("remotes")
install_version("glmtoolbox", "0.1.12")



Attach the package and use:
library("glmtoolbox")
Maintained by
Luis Hernando Vanegas
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-04-13
Latest Update: 2024-07-25
Description:
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.
How to cite:
Luis Hernando Vanegas (2021). glmtoolbox: Set of Tools to Data Analysis using Generalized Linear Models. R package version 0.1.12, https://cran.r-project.org/web/packages/glmtoolbox. Accessed 12 Mar. 2026.
Previous versions and publish date:
0.1.0 (2021-04-13 10:10), 0.1.1 (2021-06-09 10:20), 0.1.2 (2021-10-04 06:20), 0.1.3 (2022-04-07 17:02), 0.1.4 (2022-09-30 16:20), 0.1.6 (2023-01-05 18:20), 0.1.7 (2023-04-21 04:32), 0.1.8 (2023-08-15 20:40), 0.1.9 (2023-10-10 04:50), 0.1.10 (2024-01-14 04:10), 0.1.11 (2024-04-12 15:40)
Other packages that cited glmtoolbox R package
View glmtoolbox citation profile
Other R packages that glmtoolbox depends, imports, suggests or enhances
Complete documentation for glmtoolbox
Functions, R codes and Examples using the glmtoolbox R package
Some associated functions: AGPC . BoxTidwell.glm . BoxTidwell.lm . BoxTidwell . CIC . Cortisol . Drosophila . FisherScoring . GHYC . GUIDE . Grass . Melanopus . Oranges . PAC . QIC . RJC . ROCc . SGPC . Seizures . Steel . Trajan . adjR2.glm . adjR2.gnm . adjR2.lm . adjR2 . advertising . amenorrhea . anova.glmgee . anova.gnm . anova.overglm . anova.zeroinflation . anova2 . aucuba . bladder . brains . calls . cellular . cholecystectomy . confint.gnm . confint2 . cooks.distance.glmgee . cooks.distance.gnm . cooks.distance.overglm . cooks.distance.zeroinflation . coupons . depression . dfbeta.glmgee . dfbeta.gnm . dfbeta.overglm . dfbeta.zeroinflation . dilution . envelope.glm . envelope.gnm . envelope.lm . envelope . envelope.overglm . envelope.zeroinflation . estequa.glm . estequa.glmgee . estequa . estequa.overglm . estequa.zeroinflation . fabric . glmgee . gnm . gnmgee . gvif.glm . gvif.lm . gvif . gvif.overglm . hltest . ldh . leverage.glmgee . leverage . liver . localInfluence.glm . localInfluence.glmgee . localInfluence.gnm . localInfluence . localInfluence.overglm . mammary . orobanche . ossification . overglm . pipeline . predict.glmgee . rabbits . races . residuals.glmgee . residuals.gnm . residuals.overglm . residuals.zeroinflation . residuals2 . richness . rinse . shelflife . skincancer . spruces . stepCriterion.glm . stepCriterion.glmgee . stepCriterion.lm . stepCriterion . stepCriterion.overglm . swimmers . uti . vcov.glmgee . vdtest.glm . vdtest.gnm . vdtest.lm . vdtest . wglmgee . zero.excess . zeroalt . zeroinf . 
Some associated R codes: data.R . geeglm.R . glms.R . overglm3.R .  Full glmtoolbox package functions and examples
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