Package: distRforest 1.0.0

Roel Henckaerts

distRforest: Distribution-based Random Forest

Extension of the rpart package with added loss functions and random forest functionality.

Authors:Roel Henckaerts [aut, cre]

distRforest_1.0.0.tar.gz
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distRforest_1.0.0.tgz(r-4.4-x86_64)distRforest_1.0.0.tgz(r-4.4-arm64)distRforest_1.0.0.tgz(r-4.3-x86_64)distRforest_1.0.0.tgz(r-4.3-arm64)
distRforest_1.0.0.tar.gz(r-4.5-noble)distRforest_1.0.0.tar.gz(r-4.4-noble)
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distRforest.pdf |distRforest.html✨
distRforest/json (API)

# Install 'distRforest' in R:
install.packages('distRforest', repos = c('https://skranz.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/henckr/distrforest/issues

On CRAN:

1.78 score 12 scripts 17 exports 0 dependencies

Last updated 5 years agofrom:19b834dfe4 (on master). Checks:ERROR: 9. Indexed: yes.

TargetResultDate
Doc / VignettesFAILNov 19 2024
R-4.5-win-x86_64ERROROct 17 2024
R-4.5-linux-x86_64ERROROct 17 2024
R-4.4-win-x86_64ERRORNov 19 2024
R-4.4-mac-x86_64ERRORNov 19 2024
R-4.4-mac-aarch64ERRORNov 19 2024
R-4.3-win-x86_64ERRORNov 19 2024
R-4.3-mac-x86_64ERRORNov 19 2024
R-4.3-mac-aarch64ERRORNov 19 2024

Exports:importance_rforestmeanvarna.rpartpath.rpartplotcppostpredict.rforestprintcppruneprune.rpartrforestrpartrpart.controlrpart.exprsq.rpartsnip.rpartxpred.rpart

Dependencies:

Readme and manuals

Help Manual

Help pageTopics
Automobile Data from 'Consumer Reports' 1990car.test.frame
Automobile Data from 'Consumer Reports' 1990car90
Automobile Data from 'Consumer Reports' 1990cu.summary
Variable importance in a random forestimportance_rforest
Data on Children who have had Corrective Spinal Surgerykyphosis
Create Split Labels For an Rpart Objectlabels.rpart
Mean-Variance Plot for an Rpart Objectmeanvar meanvar.rpart
Handles Missing Values in an Rpart Objectna.rpart
Follow Paths to Selected Nodes of an Rpart Objectpath.rpart
Plot an Rpart Objectplot.rpart
Plot a Complexity Parameter Table for an Rpart Fitplotcp
PostScript Presentation Plot of an Rpart Objectpost post.rpart
Predict a random forestpredict.rforest
Predictions from a Fitted Rpart Objectpredict.rpart
Print an Rpart Objectprint.rpart
Displays CP table for Fitted Rpart Objectprintcp
Cost-complexity Pruning of an Rpart Objectprune prune.rpart
Residuals From a Fitted Rpart Objectresiduals.rpart
Build a random forestrforest
Recursive Partitioning and Regression Treesrpart
Control for Rpart Fitsrpart.control
Initialization function for exponential fittingrpart.exp
Recursive Partitioning and Regression Trees Objectrpart.object
Plots the Approximate R-Square for the Different Splitsrsq.rpart
Snip Subtrees of an Rpart Objectsnip.rpart
Soldering of Components on Printed-Circuit Boardssolder
Stage C Prostate Cancerstagec
Summarize a Fitted Rpart Objectsummary.rpart
Place Text on a Dendrogram Plottext.rpart
Return Cross-Validated Predictionsxpred.rpart