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regRSM  

Random Subspace Method (RSM) for Linear Regression
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("regRSM", "0.5")



Attach the package and use:
library("regRSM")
Maintained by
Pawel Teisseyre
[Scholar Profile | Author Map]
First Published: 2014-02-07
Latest Update: 2015-09-11
Description:
Performs Random Subspace Method (RSM) for high-dimensional linear regression to obtain variable importance measures. The final model is chosen based on validation set or Generalized Information Criterion.
How to cite:
Pawel Teisseyre (2014). regRSM: Random Subspace Method (RSM) for Linear Regression. R package version 0.5, https://cran.r-project.org/web/packages/regRSM. Accessed 11 Apr. 2025.
Previous versions and publish date:
0.2 (2014-02-07 12:46), 0.3 (2014-02-19 14:57), 0.4 (2014-04-18 08:39)
Other packages that cited regRSM R package
View regRSM citation profile
Other R packages that regRSM depends, imports, suggests or enhances
Complete documentation for regRSM
Functions, R codes and Examples using the regRSM R package
Some associated functions: ImpPlot.regRSM . plot.regRSM . predict.regRSM . regRSM . 
Some associated R codes: parallelRSM.R .  Full regRSM package functions and examples
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