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:
cpi_0.1.5.tar.gz
cpi_0.1.5.zip(r-4.5)cpi_0.1.5.zip(r-4.4)cpi_0.1.5.zip(r-4.3)
cpi_0.1.5.tgz(r-4.4-any)cpi_0.1.5.tgz(r-4.3-any)
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://bips-hb.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/bips-hb/cpi/issues
Pkgdown site:https://bips-hb.github.io
Last updated 2 months agofrom:238e428d7a. Checks:7 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Jan 24 2025 |
| R-4.5-win | OK | Jan 24 2025 |
| R-4.5-linux | OK | Jan 24 2025 |
| R-4.4-win | OK | Jan 24 2025 |
| R-4.4-mac | OK | Jan 24 2025 |
| R-4.3-win | OK | Jan 24 2025 |
| R-4.3-mac | OK | Jan 24 2025 |
Exports:cpi
Dependencies:backportscheckmatecodetoolscorpcordata.tabledigestevaluateforeachfuturefuture.applyglmnetglobalsgtoolsiteratorsknockofflatticelgrlistenvMatrixmlbenchmlr3mlr3measuresmlr3miscpalmerpenguinsparadoxparallellyPRROCR6RcppRcppEigenRdsdpRSpectrashapesurvivaluuid
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Conditional Predictive Impact (CPI). | cpi |
