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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 |
| 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.
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