Package: rrobot 0.1.3
rrobot: Robust Outlier Detection for Diverse Distributions
Provides robust outlier detection techniques for identifying anomalies in multivariate data, with a focus on methods that remain effective under non-Gaussian distributions. For more details see Saluja, Parlak, and Mejia (2026+) <doi:10.48550/arXiv.2505.11806>.
Authors:
rrobot_0.1.3.tar.gz
rrobot_0.1.3.zip(r-4.7)rrobot_0.1.3.zip(r-4.6)rrobot_0.1.3.zip(r-4.5)
rrobot_0.1.3.tgz(r-4.6-any)rrobot_0.1.3.tgz(r-4.5-any)
rrobot_0.1.3.tar.gz(r-4.7-any)rrobot_0.1.3.tar.gz(r-4.6-any)
rrobot_0.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
rrobot/json (API)
NEWS
| # Install 'rrobot' in R: |
| install.packages('rrobot', repos = c('https://mandymejia.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/mandymejia/rrobot/issues
Last updated from:40adfa71fd. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 196 | ||
| source / vignettes | OK | 228 | ||
| linux-release-x86_64 | OK | 200 | ||
| macos-release-arm64 | OK | 106 | ||
| macos-oldrel-arm64 | OK | 115 | ||
| windows-devel | OK | 148 | ||
| windows-release | OK | 129 | ||
| windows-oldrel | OK | 159 | ||
| wasm-release | OK | 133 |
Exports:compute_RDnormal_to_SHASHSHASH_outSHASH_to_normalthreshold_RD
Dependencies:cellWiseclicolorspacecommonmarkcpp11curlDEoptimRdplyrexpmfarverforecastfracdiffgamlssgamlss.datagamlss.distgenericsggplot2ggtextgluegridExtragridtextgtableimputeTSisobandisotreejpegjsonlitelabelinglatticelifecyclelitedownlmtestmagrittrmarkdownMASSMatrixmatrixStatsmvtnormnlmennetpcaPPpillarpkgconfigplyrpngpurrrR6RColorBrewerRcppRcppArmadilloreshape2RhpcBLASctlrlangrobustbaserrcovS7scalesshapestinepackstringistringrsurvivalsvdtibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrxfunxml2zoo
