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ICglm  

Information Criteria for Generalized Linear Regression
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ICglm", "0.1.0")



Attach the package and use:
library("ICglm")
Maintained by
Fatih Saglam
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-11-11
Latest Update: 2021-11-11
Description:
Calculate various information criteria in literature for "lm" and "glm" objects.
How to cite:
Fatih Saglam (2021). ICglm: Information Criteria for Generalized Linear Regression. R package version 0.1.0, https://cran.r-project.org/web/packages/ICglm. Accessed 22 Dec. 2024.
Previous versions and publish date:
No previous versions
Other packages that cited ICglm R package
View ICglm citation profile
Other R packages that ICglm depends, imports, suggests or enhances
Complete documentation for ICglm
Functions, R codes and Examples using the ICglm R package
Some associated functions: AIC . BIC . CAIC . FIC . GCV . HBIC . HQIC . IBIC . IC . ICOMP . JIC . KIC . SPBIC . reverse_fisher . 
Some associated R codes: AIC.R . BIC.R . CAIC.R . FIC.R . GCV.R . HBIC.R . HQIC.R . IBIC.R . IC.R . ICOMP.R . JIC.R . KIC.R . SPBIC.R . reverse_fisher.R .  Full ICglm package functions and examples
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