README.md
In egfried/Rvifmiqo: Eliminate Multicollinearity in Multiple Regression
Rvifmiqo
The 'Rvivmiqo' package and 'vifmiqo' funciton eliminate multicollinearity in multiple regression using a mixed-integer optimization framework. The 'vifmiqo' function returns a list of covariates to minimize multicollinearity and associated multiple regression attributes such as R-squared, maximum VIF value, and number of covariates.
Tutorial
A detailed tutorial on how to use the 'vifmiqo' function along with a test example can be found in vignettes/Tutorial.Rmd.
Installation
Prior to installation, visit https://www.gurobi.com/ to download the necessary 'gurobi' package.
devtoools::install_git("egfried/Rvifmiqo")
egfried/Rvifmiqo documentation built on Dec. 23, 2021, 10:23 p.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Rvifmiqo
The 'Rvivmiqo' package and 'vifmiqo' funciton eliminate multicollinearity in multiple regression using a mixed-integer optimization framework. The 'vifmiqo' function returns a list of covariates to minimize multicollinearity and associated multiple regression attributes such as R-squared, maximum VIF value, and number of covariates.
Tutorial
A detailed tutorial on how to use the 'vifmiqo' function along with a test example can be found in vignettes/Tutorial.Rmd.
Installation
Prior to installation, visit https://www.gurobi.com/ to download the necessary 'gurobi' package.
devtoools::install_git("egfried/Rvifmiqo")
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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