Package: Rforestry 0.10.2
Rforestry: Random Forests, Linear Trees, and Gradient Boosting for Inference and Interpretability
Provides fast implementations of Honest Random Forests, Gradient Boosting, and Linear Random Forests, with an emphasis on inference and interpretability. Additionally contains methods for variable importance, out-of-bag prediction, regression monotonicity, and several methods for missing data imputation. Soren R. Kunzel, Theo F. Saarinen, Edward W. Liu, Jasjeet S. Sekhon (2019) <arxiv:1906.06463>.
Authors:
Rforestry_0.10.2.tar.gz
Rforestry_0.10.2.zip(r-4.5)Rforestry_0.10.2.zip(r-4.4)Rforestry_0.10.2.zip(r-4.3)
Rforestry_0.10.2.tgz(r-4.4-x86_64)Rforestry_0.10.2.tgz(r-4.4-arm64)Rforestry_0.10.2.tgz(r-4.3-x86_64)Rforestry_0.10.2.tgz(r-4.3-arm64)
Rforestry_0.10.2.tar.gz(r-4.5-noble)Rforestry_0.10.2.tar.gz(r-4.4-noble)
Rforestry_0.10.2.tgz(r-4.4-emscripten)Rforestry_0.10.2.tgz(r-4.3-emscripten)
Rforestry.pdf |Rforestry.html✨
Rforestry/json (API)
# Install 'Rforestry' in R: |
install.packages('Rforestry', repos = c('https://forestry-labs.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/forestry-labs/rforestry/issues
baggingboostingcausal-inferenceinterpretabilitymachine-learningmonotonic-constraintsrandom-forestrandom-foreststrees
Last updated 1 years agofrom:c798f62e35. Checks:OK: 1 NOTE: 7 ERROR: 1. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 29 2024 |
R-4.5-win-x86_64 | ERROR | Oct 29 2024 |
R-4.5-linux-x86_64 | NOTE | Oct 29 2024 |
R-4.4-win-x86_64 | NOTE | Oct 29 2024 |
R-4.4-mac-x86_64 | NOTE | Oct 29 2024 |
R-4.4-mac-aarch64 | NOTE | Oct 29 2024 |
R-4.3-win-x86_64 | NOTE | Oct 29 2024 |
R-4.3-mac-x86_64 | NOTE | Oct 29 2024 |
R-4.3-mac-aarch64 | NOTE | Oct 29 2024 |
Exports:addTreescompute_lpCppToR_translatorexport_jsonforestrygetOOBgetOOBpredsgetVIhonestRFimpute_featuresloadForestrymake_savablepredictInforelinkCPP_prtsaveForestry
Dependencies:base64encbslibcachemclicodetoolsdigestevaluatefastmapfontawesomeforeachfsglmnetgluehighrhtmltoolshtmlwidgetsiteratorsjquerylibjsonliteknitrlatticelifecyclemagrittrMatrixmemoisemimeonehotplyrpROCR6rappdirsRcppRcppArmadilloRcppEigenRcppThreadrlangrmarkdownsassshapesurvivaltinytexvisNetworkxfunyaml
Readme and manuals
Help Manual
Help page | Topics |
---|---|
addTrees-forestry | addTrees |
compute lp distances | compute_lp compute_lp-forestry |
Cpp to R translator | CppToR_translator |
export_json | export_json |
Checks if forestry object has valid pointer for C++ object. | forest_checker |
forestry | forestry |
forestry class | forestry-class |
getOOB-forestry | getOOB getOOB,forestry-method getOOB-forestry |
getOOBpreds-forestry | getOOBpreds getOOBpreds-forestry |
getVI-forestry | getVI |
Honest Random Forest | honestRF |
Feature imputation using random forests neighborhoods | impute_features |
load RF | loadForestry |
make_savable | make_savable make_savable,forestry-method |
visualize a tree | plot-forestry plot.forestry |
predict-forestry | predict-forestry predict.forestry |
predictInfo-forestry | predictInfo |
preprocess_testing | preprocess_testing |
preprocess_training | preprocess_training |
relink CPP ptr | relinkCPP_prt |
save RF | saveForestry |
scale_center | scale_center |
Test data check | testing_data_checker testing_data_checker-forestry |
Training data check | training_data_checker |
unscale_uncenter | unscale_uncenter |