Package: mrct 0.0.1.0
Jeremy Oguamalam
mrct: Outlier Detection of Functional Data Based on the Minimum Regularized Covariance Trace Estimator
Detect outlying observations in functional data sets based on the minimum regularized covariance trace (MRCT) estimator. Includes implementation of Oguamalam et al. (2023) <arxiv:2307.13509>.
Authors:
mrct_0.0.1.0.tar.gz
mrct_0.0.1.0.tar.gz(r-4.7-any)mrct_0.0.1.0.tar.gz(r-4.6-any)
mrct_0.0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
mrct/json (API)
| # Install 'mrct' in R: |
| install.packages('mrct', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:3c8388045d. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 249 | ||
| source / vignettes | OK | 239 | ||
| linux-release-x86_64 | OK | 283 | ||
| wasm-release | OK | 139 |
Exports:innerProductmrctmrct.isemrct.plotmrct.rgaussmrct.sparsemrct.sparse.plot
Dependencies:ashbackportsbase64encbitopsbslibcachemcheckmatecliclustercolorspacecpp11data.tableDEoptimRdeSolvedigestevaluatefarverfastmapfdafdapacefdsFNNfontawesomeforeignFormulafsggplot2gluegridExtragtablehdrcdehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonlitekernlabKernSmoothknitrkslabelinglatticelifecyclelocfitmagrittrMASSMatrixmclustmemoisemgcvmimemulticoolmvtnormnlmennetnumDerivpcaPPplyrpracmaR6rainbowrappdirsrbibutilsRColorBrewerRcppRcppEigenRCurlRdpackreshape2rlangrmarkdownrobustbaserpartrstudioapiS7sassscalesstringistringrtinytexvctrsviridisLitewithrxfunyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Pairwise inner product for L^2 functions | innerProduct |
| Minimum regularized covariance trace estimator | mrct |
| Integrated square error | mrct.ise |
| Plot function for result from 'mrct()' | mrct.plot |
| Random sample from Gaussian process | mrct.rgauss |
| Sparse minimum regularized covariance trace estimator | mrct.sparse |
| Plot function for result from 'mrct.sparse()' | mrct.sparse.plot |