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IPMRF  

Intervention in Prediction Measure for Random Forests
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("IPMRF", "1.3")



Attach the package and use:
library("IPMRF")
Maintained by
Irene Epifanio
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-09-29
Latest Update: 2025-09-29
Description:
Computes intervention in prediction measure for assessing variable importance for random forests. See details at I. Epifanio (2017) <doi:10.1186/s12859-017-1650-8>.
How to cite:
Irene Epifanio (2025). IPMRF: Intervention in Prediction Measure for Random Forests. R package version 1.3, https://cran.r-project.org/web/packages/IPMRF. Accessed 09 Sep. 2026.
Previous versions and publish date:
1.0 (2017-05-05 20:14), 1.1.1 (2017-07-28 10:29), 1.1 (2017-07-15 23:00), 1.2 (2017-08-09 14:14), (2026-07-09 08:07)
Other packages that cited IPMRF R package
View IPMRF citation profile
Other R packages that IPMRF depends, imports, suggests or enhances
Complete documentation for IPMRF
Functions, R codes and Examples using the IPMRF R package
Full IPMRF package functions and examples
Downloads during the last 30 days

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