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-4.5)pdp_0.8.1.zip(r-4.4)pdp_0.8.1.zip(r-4.3)
pdp_0.8.1.tgz(r-4.4-x86_64)pdp_0.8.1.tgz(r-4.4-arm64)pdp_0.8.1.tgz(r-4.3-x86_64)pdp_0.8.1.tgz(r-4.3-arm64)
pdp_0.8.1.tar.gz(r-4.5-noble)pdp_0.8.1.tar.gz(r-4.4-noble)
pdp_0.8.1.tgz(r-4.4-emscripten)pdp_0.8.1.tgz(r-4.3-emscripten)
pdp.pdf |pdp.html✨
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 2 years agofrom:4f22141faf. Checks:OK: 4 NOTE: 5. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 03 2024 |
R-4.5-win-x86_64 | NOTE | Nov 03 2024 |
R-4.5-linux-x86_64 | NOTE | Nov 03 2024 |
R-4.4-win-x86_64 | NOTE | Nov 03 2024 |
R-4.4-mac-x86_64 | NOTE | Nov 03 2024 |
R-4.4-mac-aarch64 | NOTE | Nov 03 2024 |
R-4.3-win-x86_64 | OK | Nov 03 2024 |
R-4.3-mac-x86_64 | OK | Nov 03 2024 |
R-4.3-mac-aarch64 | OK | Nov 03 2024 |
Exports:exemplarpartialplotPartialtopPredictorstrellis.last.object
Dependencies:clicodetoolscolorspacefansifarverforeachggplot2gluegtableisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr
pdp-approximate
Rendered frompdp-approximate.Rnw
usingutils::Sweave
on Nov 03 2024.Last update: 2022-05-27
Started: 2022-05-27
pdp-introduction
Rendered frompdp-intro.Rnw
usingutils::Sweave
on Nov 03 2024.Last update: 2020-04-14
Started: 2020-04-14
pdp-link-function
Rendered frompdp-link-function.Rnw
usingutils::Sweave
on Nov 03 2024.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 |