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ocf
View on CRAN: Click
here
Download and install ocf package within the R console
Install from CRAN:
install.packages("ocf")
Install from Github:
library("remotes")
install_github("cran/ocf")
Install by package version:
library("remotes")
install_version("ocf", "1.0.3")
Attach the package and use:
library("ocf")
Maintained by
Riccardo Di Francesco
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.ocf . https://github.com/riccardo-df/ocf/issues . https://riccardo-df.github.io/ocf/ . https://github.com/riccardo-df/ocf . ocf results . ocf.pdf . ocf_1.0.3.tar.gz . ocf_1.0.3.zip . ocf_1.0.3.zip . ocf_1.0.3.zip . ocf_1.0.3.tgz . ocf_1.0.3.tgz . ocf_1.0.3.tgz . ocf_1.0.3.tgz . ocf_1.0.3.tgz . ocf_1.0.3.tgz . ocf archive . https://CRAN.R-project.org/package=ocf .
First Published: 2023-09-14
Latest Update: 2023-09-14
Description:
Nonparametric estimator for ordered non-numeric outcomes. The estimator modifies a
standard random forest splitting criterion to build a collection of forests, each estimating the conditional
probability of a single class. The package also implements a nonparametric estimator of the covariates
How to cite:
Riccardo Di Francesco (2023). ocf: Ordered Correlation Forest. R package version 1.0.3, https://cran.r-project.org/web/packages/ocf. Accessed 07 Apr. 2025.
Other packages that cited ocf R package
View ocf citation profile
Other R packages that ocf depends,
imports, suggests or enhances
Complete documentation for ocf
Functions, R codes and Examples using
the ocf R package
Some associated functions: check_alpha . check_honesty_inference . check_maxdepth . check_minnodesize . check_mtry . check_ntrees . check_samplefraction . check_x_y . class_honest_split . forest_weights_fitted . forest_weights_fitted_cpp . forest_weights_predicted_cpp . honest_fitted . honest_fitted_cpp . honest_predictions . honest_predictions_cpp . marginal_effects . mean_squared_error . multinomial_ml . ocf . ordered_ml . predict.mml . predict.ocf.forest . predict.ocf . predict.oml . predict_forest_weights . print.ocf.marginal . print.ocf . rename_latex . summary.ocf.marginal . summary.ocf . tree_info .
Some associated R codes: RcppExports.R . checks.R . evaluation-metrics.R . generic-s3.R . honesty.R . marginal-effects.R . multinomial-ml.R . ocf.R . ordered-ml.R . utils.R . weights.R . Full ocf package functions and examples
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