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SignifReg  

Consistent Significance Controlled Variable Selection in Generalized Linear Regression
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("SignifReg", "4.3")



Attach the package and use:
library("SignifReg")
Maintained by
Adriano Zanin Zambom
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-02-02
Latest Update: 2022-03-22
Description:
Provides significance controlled variable selection algorithms with different directions (forward, backward, stepwise) based on diverse criteria (AIC, BIC, adjusted r-square, PRESS, or p-value). The algorithm selects a final model with only significant variables defined as those with significant p-values after multiple testing correction such as Bonferroni, False Discovery Rate, etc. See Zambom and Kim (2018) <doi:10.1002/sta4.210>.
How to cite:
Adriano Zanin Zambom (2017). SignifReg: Consistent Significance Controlled Variable Selection in Generalized Linear Regression. R package version 4.3, https://cran.r-project.org/web/packages/SignifReg
Previous versions and publish date:
1.0 (2017-02-02 02:04), 1.1 (2019-02-16 19:00), 2.0 (2019-06-06 09:52), 2.1.1 (2020-04-03 06:10), 2.1 (2019-06-26 10:20), 3.0 (2020-04-17 06:40), 4.0 (2021-06-16 18:50), 4.1 (2021-06-30 20:40), 4.2 (2021-09-23 18:00)
Other packages that cited SignifReg R package
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Other R packages that SignifReg depends, imports, suggests or enhances
Functions, R codes and Examples using the SignifReg R package
Some associated functions: SignifReg-package . SignifReg . add1SignifReg . add1summary . drop1SignifReg . drop1summary . 
Some associated R codes: SignifReg.R . add1SignifReg.R . add1summary.R . drop1SignifReg.R . drop1summary.R .  Full SignifReg package functions and examples
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