Package: pdp 0.8.1
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_0.8.1.tar.gz
pdp_0.8.1.zip(r-4.7)pdp_0.8.1.zip(r-4.6)pdp_0.8.1.zip(r-4.5)
pdp_0.8.1.tgz(r-4.6-x86_64)pdp_0.8.1.tgz(r-4.6-arm64)pdp_0.8.1.tgz(r-4.5-x86_64)pdp_0.8.1.tgz(r-4.5-arm64)
pdp_0.8.1.tar.gz(r-4.7-arm64)pdp_0.8.1.tar.gz(r-4.7-x86_64)pdp_0.8.1.tar.gz(r-4.6-arm64)pdp_0.8.1.tar.gz(r-4.6-x86_64)
pdp_0.8.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
pdp/json (API)
NEWS
| # Install 'pdp' in R: |
| install.packages('pdp', repos = c('https://bgreenwell.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/bgreenwell/pdp/issues
black-box-modelmachine-learningpartial-dependence-functionpartial-dependence-plotvisualization
Last updated from:4f22141faf. Checks:11 ERROR, 2 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | ERROR | 264 | ||
| linux-devel-x86_64 | ERROR | 301 | ||
| source / vignettes | OK | 249 | ||
| linux-release-arm64 | ERROR | 260 | ||
| linux-release-x86_64 | ERROR | 290 | ||
| macos-release-arm64 | ERROR | 191 | ||
| macos-release-x86_64 | ERROR | 592 | ||
| macos-oldrel-arm64 | ERROR | 238 | ||
| macos-oldrel-x86_64 | ERROR | 415 | ||
| windows-devel | ERROR | 271 | ||
| windows-release | ERROR | 283 | ||
| windows-oldrel | ERROR | 288 | ||
| wasm-release | OK | 148 |
Exports:exemplarpartialplotPartialtopPredictorstrellis.last.object
Dependencies:clicodetoolscpp11farverforeachggplot2gluegtableisobanditeratorslabelinglatticelifecycleR6RColorBrewerrlangS7scalesvctrsviridisLitewithr
pdp-approximate
Rendered frompdp-approximate.Rnwusingutils::Sweaveon Jun 01 2026.Last update: 2022-05-27
Started: 2022-05-27
pdp-introduction
Rendered frompdp-intro.Rnwusingutils::Sweaveon Jun 01 2026.Last update: 2020-04-14
Started: 2020-04-14
pdp-link-function
Rendered frompdp-link-function.Rnwusingutils::Sweaveon Jun 01 2026.Last update: 2022-05-27
Started: 2022-05-27
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 |
| pdp: A general framework for constructing partial dependence (i.e., marginal effect) plots from various types machine learning models in R. | pdp |
| 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 |
