Package: TDAkit 0.1.3
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_0.1.3.tar.gz
TDAkit_0.1.3.tar.gz(r-4.7-arm64)TDAkit_0.1.3.tar.gz(r-4.7-x86_64)TDAkit_0.1.3.tar.gz(r-4.6-arm64)TDAkit_0.1.3.tar.gz(r-4.6-x86_64)
TDAkit_0.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
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 from:d94fb09992. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 173 | ||
| linux-devel-x86_64 | OK | 201 | ||
| source / vignettes | OK | 269 | ||
| linux-release-arm64 | OK | 226 | ||
| linux-release-x86_64 | OK | 154 | ||
| wasm-release | OK | 156 |
Exports:diag2landscapediag2silhouettediagRipsfsdistfsdist2fseqdistfshclustfskgroupsfskmedoidsfsmdsfsmeanfsnormfssc05Zfssumfstsnegen2circlesgen2holesplkernel
Dependencies:ADMMashbackportsbitopsbootcheckmateclarabelcliclustercodetoolscolorspacecpp11CVXRdbscandeSolvedoParallelenergyfarverfastclusterfdafdsFNNforeachgenericsggplot2gluegmpgsignalgslgtablehdrcdehighsisobanditeratorskernlabKernSmoothkslabdsvlabelinglatticelifecyclelocfitlpSolvemaotaiMASSMatrixmclustmclustcompmgcvmulticoolmvtnormnlmeosqppcaPPpracmaR6rainbowRANNrbibutilsRColorBrewerRcppRcppArmadilloRcppDERcppDistRcppEigenRCurlRdimtoolsRdpackrlangRSpectrarstiefelRtsneS7scalesscatterplot3dscsslamT4clusterTDAstatsvctrsviridisLitewithr
