Package: cpi 0.1.5

Marvin N. Wright

cpi: Conditional Predictive Impact

A general test for conditional independence in supervised learning algorithms as proposed by Watson & Wright (2021) <doi:10.1007/s10994-021-06030-6>. Implements a conditional variable importance measure which can be applied to any supervised learning algorithm and loss function. Provides statistical inference procedures without parametric assumptions and applies equally well to continuous and categorical predictors and outcomes.

Authors:Marvin N. Wright [aut, cre], David S. Watson [aut]

cpi_0.1.5.tar.gz
cpi_0.1.5.tar.gz(r-4.5-noble)cpi_0.1.5.tar.gz(r-4.4-noble)
cpi_0.1.5.tgz(r-4.4-emscripten)cpi_0.1.5.tgz(r-4.3-emscripten)
cpi.pdf |cpi.html
cpi/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/bips-hb/cpi/issues

3.08 score 24 scripts 183 downloads 1 exports 35 dependencies

Last updated 1 days agofrom:a713f8f3f2. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 25 2024
R-4.5-linuxOKNov 25 2024

Exports:cpi

Dependencies:backportscheckmatecodetoolscorpcordata.tabledigestevaluateforeachfuturefuture.applyglmnetglobalsgtoolsiteratorsknockofflatticelgrlistenvMatrixmlbenchmlr3mlr3measuresmlr3miscpalmerpenguinsparadoxparallellyPRROCR6RcppRcppEigenRdsdpRSpectrashapesurvivaluuid

Introduction to the cpi package

Rendered fromintro.Rmdusingknitr::rmarkdownon Nov 25 2024.

Last update: 2022-03-03
Started: 2022-03-03