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shadowVIMP  

Covariate Selection Based on VIMP Permutation-Like Testing
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("shadowVIMP", "1.0.2")



Attach the package and use:
library("shadowVIMP")
Maintained by
Oktawia Miluch
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-06-19
Latest Update: 2025-06-19
Description:
A statistical method for reducing the number of covariates in an analysis by evaluating Variable Importance Measures (VIMPs) derived from the Random Forest algorithm. It performs statistical tests on the VIMPs and outputs whether the covariate is significant along with the p-values.
How to cite:
Oktawia Miluch (2025). shadowVIMP: Covariate Selection Based on VIMP Permutation-Like Testing. R package version 1.0.2, https://cran.r-project.org/web/packages/shadowVIMP. Accessed 06 Aug. 2026.
Previous versions and publish date:
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View shadowVIMP citation profile
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Complete documentation for shadowVIMP
Functions, R codes and Examples using the shadowVIMP R package
Full shadowVIMP package functions and examples
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