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IPMRF (version 1.3)

Intervention in Prediction Measure for Random Forests

Description

Computes intervention in prediction measure for assessing variable importance for random forests. See details at I. Epifanio (2017) .

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Version

Install

install.packages('IPMRF')

Monthly Downloads

136

Version

1.3

License

GPL-3

Maintainer

Irene Epifanio

Last Published

September 29th, 2025

Functions in IPMRF (1.3)

IPMRF-internal-gbm

Internal function for gbm
ipmgbmnew

IPM casewise with gbm object by gbm for new cases, whose responses do not need to be known
IPMRF-internal

Internal function(s)
ipmparty

IPM casewise with CIT-RF by party for OOB samples
IPMRF-package

Intervention in Prediction Measure (IPM) for Random Forests
ipmrfnew

IPM casewise with CART-RF by randomForest for new cases, whose responses do not need to be known
ipmrf

IPM casewise with CART-RF by randomForest for OOB samples
ipmpartynew

IPM casewise with CIT-RF by party for new cases, whose responses do not need to be known