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StepReg
View on CRAN: Click
here
Download and install StepReg package within the R console
Install from CRAN:
install.packages("StepReg")
Install from Github:
library("remotes")
install_github("cran/StepReg")
Install by package version:
library("remotes")
install_version("StepReg", "1.5.0")
Attach the package and use:
library("StepReg")
Maintained by
Junhui Li
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-11-03
Latest Update: 2022-12-17
Description:
The stepwise regression analysis is a statistical technique used to identify a subset of predictor variables essential for constructing predictive models. This package performs stepwise regression analysis across various regression models such as linear, logistic, Cox proportional hazards, Poisson, and gamma regression. It incorporates diverse stepwise regression algorithms like forward selection, backward elimination, and bidirectional elimination alongside the best subset method. Additionally, it offers a wide range of selection criteria, including Akaike Information Criterion (AIC), corrected AIC (AICc), Sawa Bayesian Information Criterion (BIC), Schwarz Bayesian Information Criterion (SBC), Significant Levels (SL), among others. Moreover, it facilitates the concurrent selection of multiple methods and criteria for variable selection. For user-friendly exploration and analysis, StepReg provides an intuitive R Shiny app.
How to cite:
Junhui Li (2017). StepReg: Stepwise Regression Analysis. R package version 1.5.0, https://cran.r-project.org/web/packages/StepReg
Previous versions and publish date:
1.0.0 (2017-11-03 11:17), 1.0.1 (2019-01-17 13:10), 1.1.0 (2019-05-24 11:10), 1.2.0 (2019-05-31 10:40), 1.2.1 (2019-09-20 11:30), 1.3.0 (2019-10-16 06:10), 1.3.1 (2019-10-29 06:20), 1.3.2 (2019-11-11 14:10), 1.3.3 (2019-11-25 10:10), 1.3.4 (2020-01-08 13:40), 1.4.0 (2020-02-24 13:50), 1.4.1 (2020-03-23 16:30), 1.4.2 (2021-04-05 00:10), 1.4.3 (2022-01-14 10:22), 1.4.4 (2022-12-17 17:20)
Other packages that cited StepReg R package
View StepReg citation profile
Other R packages that StepReg depends,
imports, suggests or enhances
Functions, R codes and Examples using
the StepReg R package
Some associated functions: modelFitStat . print.StepReg . stepwise . stepwiseCox . stepwiseLogit .
Some associated R codes: modelFitStat.R . print.StepReg.R . stepwise.R . stepwiseCox.R . stepwiseLogit.R . Full StepReg package functions and examples
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