Package: frechet 0.2.0
Yaqing Chen
frechet: Statistical Analysis for Random Objects and Non-Euclidean Data
Provides implementation of statistical methods for random objects lying in various metric spaces, which are not necessarily linear spaces. The core of this package is Fréchet regression for random objects with Euclidean predictors, which allows one to perform regression analysis for non-Euclidean responses under some mild conditions. Examples include distributions in L^2-Wasserstein space, covariance matrices endowed with power metric (with Frobenius metric as a special case), Cholesky and log-Cholesky metrics. References: Petersen, A., & Müller, H.-G. (2019) <doi:10.1214/17-AOS1624>.
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NEWS
# Install 'frechet' in R: |
install.packages('frechet', repos = c('https://functionaldata.r-universe.dev', 'https://cloud.r-project.org')) |
The latest version of this package failed to build. Look at thebuild logs for more information.
Bug tracker:https://github.com/functionaldata/tfrechet/issues
Last updated 12 months agofrom:f94e092ded. Checks:OK: 1 WARNING: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Aug 13 2024 |
R-4.5-win | WARNING | Aug 13 2024 |
R-4.5-linux | WARNING | Aug 13 2024 |
R-4.4-win | WARNING | Aug 13 2024 |
R-4.4-mac | WARNING | Aug 13 2024 |
R-4.3-win | WARNING | Aug 13 2024 |
R-4.3-mac | WARNING | Aug 13 2024 |
Exports:AddDensRegcolor.barCovFMeanCreateCovRegPlotCreateDensityDenFMeandist4covdist4denexpSphereframeSphereGloCovRegGloDenRegGloSpheRegLocCovRegLocDenRegLocSpheReglogSpherepol2carSpheGeoDistSpheGeoGradSpheGeoHess
Dependencies:backportsbase64encbslibcachemcheckmatecliclustercolorspacecorrplotdata.tabledigestevaluatefansifarverfastmapfdadensityfdapacefontawesomeforeignFormulafsggplot2gluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmennetnumDerivosqppillarpkgconfigpracmaR6rappdirsRColorBrewerRcppRcppEigenrlangrmarkdownrpartrstudioapisassscalesstringistringrtibbletinytextrustutf8vctrsviridisviridisLitewithrxfunyaml