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IPMRF (version 1.2)

Intervention in Prediction Measure (IPM) for Random Forests

Description

Computes IPM for assessing variable importance for random forests. See details at I. Epifanio (2017) .

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Version

Install

install.packages('IPMRF')

Monthly Downloads

20

Version

1.2

License

GPL-3

Maintainer

Irene Epifanio

Last Published

August 9th, 2017

Functions in IPMRF (1.2)

ipmrangernew

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

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

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

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

Internal function for gbm
IPMRF-internal-ranger

Internal function for ranger
ipmpartynew

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

IPM casewise with RF by ranger for OOB samples
IPMRF-internal

Internal function(s)
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