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orf
View on CRAN: Click
here
Download and install orf package within the R console
Install from CRAN:
install.packages("orf")
Install from Github:
library("remotes")
install_github("cran/orf") Install by package version:
library("remotes")
install_version("orf", "0.1.4") Attach the package and use:
library("orf")
Maintained by
Gabriel Okasa
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-11-30
Latest Update: 2022-07-23
Description:
An implementation of the Ordered Forest estimator as developed
in Lechner & Okasa (2019) . The Ordered Forest flexibly
estimates the conditional probabilities of models with ordered categorical
outcomes (so-called ordered choice models). Additionally to common machine
learning algorithms the 'orf' package provides functions for estimating
marginal effects as well as statistical inference thereof and thus provides
similar output as in standard econometric models for ordered choice. The
core forest algorithm relies on the fast C++ forest implementation from
the 'ranger' package (Wright & Ziegler, 2017) .
How to cite:
Gabriel Okasa (2019). orf: Ordered Random Forests. R package version 0.1.4, https://cran.r-project.org/web/packages/orf. Accessed 15 Jul. 2026.
Previous versions and publish date:
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imports, suggests or enhances
Complete documentation for orf
Functions, R codes and Examples using
the orf R package
Some associated functions: check_X . check_Y . check_discrete_Y . check_eval . check_honesty . check_honesty_fraction . check_importance . check_inference . check_latex . check_min_node_size . check_mtry . check_newdata . check_num_trees . check_replace . check_sample_fraction . check_type . check_window . get_forest_weights . get_honest . get_honest_C . get_orf_variance . get_weights_C . honest_split . margins . margins.orf . margins_output . margins_output_latex . mse . odata . orf-package . orf . plot.orf . pred_honest_C . pred_orf_variance . pred_weights_C . predict.orf . predict_forest_preds_for_ME . predict_forest_weights . predict_forest_weights_for_ME . predict_honest . print.margins.orf . print.orf . print.orf.prediction . rps . summary.margins.orf . summary.orf . summary.orf.prediction .
Some associated R codes: RcppExports.R . checks.R . evals.R . honest_funs.R . margins.R . odata.R . orf_dev.R . orf_package.R . orf_user.R . weight_funs.R . Full orf package functions and examples
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