Provides a method to find the outlier in custom data by quantile random forests method. Introduced by Meinshausen Nicolai (2006) <https://dl.acm.org/doi/10.5555/1248547.1248582>. It directly calls the ranger() function of the 'ranger' package to perform data fitting and prediction. We also implement the evaluation of outlier prediction results. Compared with random forest detection of outliers, this method has higher accuracy and stability on large datasets.
| Version: | 1.0.0 |
| Depends: | R (≥ 4.0.0) |
| Imports: | stats, ranger, dplyr, missRanger, ggpubr, ggplot2, tidyr |
| Suggests: | renv, knitr, testthat (≥ 3.0.0) |
| Published: | 2024-09-10 |
| DOI: | 10.32614/CRAN.package.outqrf |
| Author: | Tengfei Xu [aut, cre] |
| Maintainer: | Tengfei Xu <flystar233 at gmail.com> |
| BugReports: | https://github.com/flystar233/outqrf/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/flystar233/outqrf |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | outqrf results |
| Reference manual: | outqrf.pdf |
| Vignettes: |
Using 'outqrf' (source, R code) |
| Package source: | outqrf_1.0.0.tar.gz |
| Windows binaries: | r-devel: outqrf_1.0.0.zip, r-release: outqrf_1.0.0.zip, r-oldrel: outqrf_1.0.0.zip |
| macOS binaries: | r-release (arm64): outqrf_1.0.0.tgz, r-oldrel (arm64): outqrf_1.0.0.tgz, r-release (x86_64): outqrf_1.0.0.tgz, r-oldrel (x86_64): outqrf_1.0.0.tgz |
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