Package: pdp 0.8.2
Brandon M. Greenwell
pdp: Partial Dependence Plots
A general framework for constructing partial dependence (i.e., marginal effect) plots from various types machine learning models in R.
Authors:
pdp_0.8.2.tar.gz
pdp_0.8.2.tar.gz(r-4.5-noble)pdp_0.8.2.tar.gz(r-4.4-noble)
pdp_0.8.2.tgz(r-4.4-emscripten)pdp_0.8.2.tgz(r-4.3-emscripten)
pdp.pdf |pdp.html✨
pdp/json (API)
NEWS
| # Install 'pdp' in R: |
| install.packages('pdp', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/bgreenwell/pdp/issues
Last updated 1 days agofrom:8692d1048b. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 29 2024 |
| R-4.5-linux-x86_64 | OK | Oct 29 2024 |
Exports:exemplarpartialplotPartialtopPredictorstrellis.last.object
Dependencies:clicodetoolscolorspacefansifarverforeachggplot2gluegtableisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr
pdp-approximate
Rendered frompdp-approximate.Rnwusingutils::Sweaveon Oct 29 2024.Last update: 2022-05-11
Started: 2022-05-11
pdp-introduction
Rendered frompdp-intro.Rnwusingutils::Sweaveon Oct 29 2024.Last update: 2022-05-11
Started: 2022-05-11
pdp-link-function
Rendered frompdp-link-function.Rnwusingutils::Sweaveon Oct 29 2024.Last update: 2022-05-11
Started: 2022-05-11
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Plotting Partial Dependence Functions | autoplot.cice autoplot.ice autoplot.partial |
| Boston Housing Data | boston |
| Exemplar observation | exemplar exemplar.data.frame exemplar.dgCMatrix exemplar.matrix |
| Partial Dependence Functions | partial partial.default partial.model_fit |
| Pima Indians Diabetes Data | pima |
| Plotting Partial Dependence Functions | plotPartial plotPartial.cice plotPartial.ice plotPartial.partial |
| Extract Most "Important" Predictors (Experimental) | topPredictors topPredictors.default topPredictors.train |
