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✨
card.svg |card.png
cpi/json (API)
NEWS

# 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:

5.24 score 12 stars 29 scripts 203 downloads 1 exports 39 dependencies

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

Target	Result	Time
linux-devel-x86_64	ERROR	166
source / vignettes	OK	211
linux-release-x86_64	OK	140
macos-release-arm64	OK	90
macos-oldrel-arm64	OK	104
windows-devel	OK	82
windows-release	OK	76
windows-oldrel	OK	81
wasm-release	OK	112