The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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 |
Please use the canonical form https://CRAN.R-project.org/package=outqrf to link to this page.
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.