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
Last updated 18 days agofrom:a9797d2b0e. Checks:OK: 5 NOTE: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 05 2024 |
| R-4.5-win | NOTE | Nov 05 2024 |
| R-4.5-linux | NOTE | Nov 05 2024 |
| R-4.4-win | OK | Nov 05 2024 |
| R-4.4-mac | OK | Nov 05 2024 |
| R-4.3-win | OK | Nov 05 2024 |
| R-4.3-mac | OK | Nov 05 2024 |
Exports:cpi
Dependencies:backportscheckmatecodetoolscorpcordata.tabledigestevaluateforeachfuturefuture.applyglmnetglobalsgtoolsiteratorsknockofflatticelgrlistenvMatrixmlbenchmlr3mlr3measuresmlr3miscpalmerpenguinsparadoxparallellyPRROCR6RcppRcppEigenRdsdpRSpectrashapesurvivaluuid
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Conditional Predictive Impact (CPI). | cpi |
