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drf
View on CRAN: Click
here
Download and install drf package within the R console
Install from CRAN:
install.packages("drf")
Install from Github:
library("remotes")
install_github("cran/drf") Install by package version:
library("remotes")
install_version("drf", "1.3.0") Attach the package and use:
library("drf")
Maintained by
Loris Michel
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-06-22
Latest Update: 2021-03-29
Description:
An implementation of distributional random forests as introduced in Cevid & Michel & Meinshausen & Buhlmann (2020) .
How to cite:
Loris Michel (2020). drf: Distributional Random Forests. R package version 1.3.0, https://cran.r-project.org/web/packages/drf. Accessed 10 Mar. 2026.
Previous versions and publish date:
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Other R packages that drf depends,
imports, suggests or enhances
Complete documentation for drf
Functions, R codes and Examples using
the drf R package
Some associated functions: create_dot_body . drf . export_graphviz . get_sample_weights . get_tree . leaf_stats.default . leaf_stats.drf . medianHeuristic . plot.drf_tree . predict.drf . print.drf . print.drf_tree . split_frequencies . variableImportance . variable_importance . weighted.quantile .
Some associated R codes: RcppExports.R . analysis_tools.R . drf.R . input_utilities.R . mmdVariableImportance.R . plot.R . print.R . Full drf package functions and examples
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