Package: TDAkit 0.1.2
TDAkit: Toolkit for Topological Data Analysis
Topological data analysis studies structure and shape of the data using topological features. We provide a variety of algorithms to learn with persistent homology of the data based on functional summaries for clustering, hypothesis testing, visualization, and others. We refer to Wasserman (2018) <doi:10.1146/annurev-statistics-031017-100045> for a statistical perspective on the topic.
Authors:
TDAkit_0.1.2.tar.gz
TDAkit_0.1.2.tar.gz(r-4.5-noble)TDAkit_0.1.2.tar.gz(r-4.4-noble)
TDAkit_0.1.2.tgz(r-4.4-emscripten)TDAkit_0.1.2.tgz(r-4.3-emscripten)
TDAkit.pdf |TDAkit.html✨
TDAkit/json (API)
NEWS
# Install 'TDAkit' in R: |
install.packages('TDAkit', 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 3 years agofrom:e39fbbffa8. Checks:OK: 1 NOTE: 1. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 06 2024 |
R-4.5-linux-x86_64 | NOTE | Dec 06 2024 |
Exports:diag2landscapediag2silhouettediagRipsfsdistfsdist2fseqdistfshclustfskgroupsfskmedoidsfsmdsfsmeanfsnormfssc05Zfssumfstsnegen2circlesgen2holesplkernel
Dependencies:ADMMashbase64encbitbit64bitopsbootbslibcachemcliclustercodetoolscolorspaceCVXRdbscandeSolvedigestdoParallelECOSolveRenergyevaluatefansifarverfastclusterfastmapfdafdsFNNfontawesomeforeachfsgenericsggplot2gluegmpgslgtablehdrcdehighrhtmltoolshtmlwidgetsisobanditeratorsjquerylibjsonlitekernlabKernSmoothknitrkslabdsvlabelinglatticelifecyclelocfitlpSolvemagrittrmaotaiMASSMatrixmclustmclustcompmemoisemgcvmimeminpack.lmmulticoolmunsellmvtnormnlmeosqppcaPPpillarpkgconfigpracmaR6rainbowRANNrappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppDERcppDistRcppEigenRCurlRdimtoolsRdpackrglrlangrmarkdownRmpfrRSpectrarstiefelRtsnesassscalesscatterplot3dscsshapesT4clusterTDAstatstibbletinytexutf8vctrsviridisLitewithrxfunyaml