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:Jeremy Oguamalam [aut, cre], Una Radojičić [aut], Peter Filzmoser [aut]

mrct_0.0.1.0.tar.gz
mrct_0.0.1.0.zip(r-4.7-any)mrct_0.0.1.0.zip(r-4.6-any)
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✨
DESCRIPTION
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'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 235 downloads 7 exports 88 dependencies

Last updated from:3c8388045d. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK152
source / vignettesOK284
linux-releaseOK164
windows-develOK117
windows-releaseOK106
wasm-releaseOK108

Exports:innerProductmrctmrct.isemrct.plotmrct.rgaussmrct.sparsemrct.sparse.plot

Dependencies:ashbackportsbase64encbitopsbslibcachemcheckmatecliclustercolorspacecpp11data.tableDEoptimRdeSolvedigestevaluatefarverfastmapfdafdapacefdsFNNfontawesomeforeignFormulafsggplot2gluegridExtragtablehdrcdehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonlitekernlabKernSmoothknitrkslabelinglatticelifecyclelocfitmagrittrMASSMatrixmclustmemoisemgcvmimemulticoolmvtnormnlmennetnumDerivpcaPPplyrpracmaR6rainbowrappdirsrbibutilsRColorBrewerRcppRcppEigenRCurlRdpackreshape2rlangrmarkdownrobustbaserpartrstudioapiS7sassscalesstringistringrtinytexvctrsviridisLitewithrxfunyaml