Package: IPMRF 1.3

Irene Epifanio

IPMRF: Intervention in Prediction Measure for Random Forests

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>.

Authors:Irene Epifanio [aut, cre], Stefano Nembrini [aut], Aleix Alcacer [aut], Vicente Bolos [aut]

IPMRF_1.3.tar.gz
IPMRF_1.3.tar.gz(r-4.7-any)IPMRF_1.3.tar.gz(r-4.6-any)
IPMRF_1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
IPMRF/json (API)
NEWS

# Install 'IPMRF' in R:
install.packages('IPMRF', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 9 scripts 144 downloads 9 exports 18 dependencies

Last updated from:cea863791f. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK123
source / vignettesOK193
linux-release-x86_64OK128
wasm-releaseOK100

Exports:getTreegbmipmgbmnewipmpartyipmpartynewipmrfipmrfnewnumber2binaryprevtreeprevtreeparty

Dependencies:codetoolscoingbmlatticelibcoinMASSMatrixmatrixStatsmodeltoolsmultcompmvtnormpartyrandomForestsandwichstrucchangesurvivalTH.datazoo