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.zip(r-4.5)TDAkit_0.1.2.zip(r-4.4)TDAkit_0.1.2.zip(r-4.3)
TDAkit_0.1.2.tgz(r-4.4-x86_64)TDAkit_0.1.2.tgz(r-4.4-arm64)TDAkit_0.1.2.tgz(r-4.3-x86_64)TDAkit_0.1.2.tgz(r-4.3-arm64)
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://kisungyou.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/kisungyou/tdakit/issues
Last updated 3 years agofrom:f7a6a9c4c0. Checks:OK: 1 NOTE: 8. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 02 2024 |
R-4.5-win-x86_64 | NOTE | Nov 02 2024 |
R-4.5-linux-x86_64 | NOTE | Nov 02 2024 |
R-4.4-win-x86_64 | NOTE | Nov 02 2024 |
R-4.4-mac-x86_64 | NOTE | Nov 02 2024 |
R-4.4-mac-aarch64 | NOTE | Nov 02 2024 |
R-4.3-win-x86_64 | NOTE | Nov 02 2024 |
R-4.3-mac-x86_64 | NOTE | Nov 02 2024 |
R-4.3-mac-aarch64 | NOTE | Nov 02 2024 |
Exports:diag2landscapediag2silhouettediagRipsfsdistfsdist2fseqdistfshclustfskgroupsfskmedoidsfsmdsfsmeanfsnormfssc05Zfssumfstsnegen2circlesgen2holesplkernel
Dependencies:ADMMashbase64encbitbit64bitopsbootbslibcachemclarabelcliclustercodetoolscolorspaceCVXRdbscandeSolvedigestdoParallelECOSolveRenergyevaluatefansifarverfastclusterfastmapfdafdsFNNfontawesomeforeachfsgenericsggplot2gluegmpgslgtablehdrcdehighrhtmltoolshtmlwidgetsisobanditeratorsjquerylibjsonlitekernlabKernSmoothknitrkslabdsvlabelinglatticelifecyclelocfitlpSolvemagrittrmaotaiMASSMatrixmclustmclustcompmemoisemgcvmimeminpack.lmmulticoolmunsellmvtnormnlmeosqppcaPPpillarpkgconfigpracmaR6rainbowRANNrappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppDERcppDistRcppEigenRCurlRdimtoolsRdpackrglrlangrmarkdownRmpfrRSpectrarstiefelRtsnesassscalesscatterplot3dscsshapesT4clusterTDAstatstibbletinytexutf8vctrsviridisLitewithrxfunyaml