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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’ marginal effects.
Version: | 1.0.0 |
Depends: | R (≥ 3.4.0) |
Imports: | Rcpp, Matrix, stats, utils, stringr, orf, glmnet, ranger |
LinkingTo: | Rcpp, RcppEigen |
Suggests: | knitr, rmarkdown, testthat (≥ 3.0.0) |
Published: | 2023-09-14 |
DOI: | 10.32614/CRAN.package.ocf |
Author: | Riccardo Di Francesco [aut, cre, cph] |
Maintainer: | Riccardo Di Francesco <difrancesco.riccardo96 at gmail.com> |
License: | GPL-3 |
URL: | https://riccardo-df.github.io/ocf/ |
NeedsCompilation: | yes |
Materials: | README NEWS |
CRAN checks: | ocf results |
Reference manual: | ocf.pdf |
Vignettes: |
ocf |
Package source: | ocf_1.0.0.tar.gz |
Windows binaries: | r-devel: ocf_1.0.0.zip, r-release: ocf_1.0.0.zip, r-oldrel: ocf_1.0.0.zip |
macOS binaries: | r-release (arm64): ocf_1.0.0.tgz, r-oldrel (arm64): ocf_1.0.0.tgz, r-release (x86_64): ocf_1.0.0.tgz, r-oldrel (x86_64): ocf_1.0.0.tgz |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.