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.zip(r-4.7)cpi_0.1.5.zip(r-4.6)cpi_0.1.5.zip(r-4.5)
cpi_0.1.5.tgz(r-4.6-any)cpi_0.1.5.tgz(r-4.5-any)
cpi_0.1.5.tar.gz(r-4.7-any)cpi_0.1.5.tar.gz(r-4.6-any)
cpi_0.1.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
cpi/json (API)

# Install 'cpi' in R:

install.packages('cpi', repos = c('https://bips-hb.r-universe.dev', 'https://cloud.r-project.org'))

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

Pkgdown/docs site:https://bips-hb.github.io

On CRAN:

5.26 score 12 stars 30 scripts 301 downloads 1 exports 39 dependencies

Last updated from:238e428d7a. Checks:1 FAIL, 8 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	FAIL	106
source / vignettes	OK	173
linux-release-x86_64	OK	135
macos-release-arm64	OK	137
macos-oldrel-arm64	OK	93
windows-devel	OK	87
windows-release	OK	128
windows-oldrel	OK	91
wasm-release	OK	140