Package: clustEff 0.3.1
clustEff: Clusters of Effects Curves in Quantile Regression Models
Clustering method to cluster both effects curves, through quantile regression coefficient modeling, and curves in functional data analysis. Sottile G. and Adelfio G. (2019) <doi:10.1007/s00180-018-0817-8>.
Authors:
clustEff_0.3.1.tar.gz
clustEff_0.3.1.zip(r-4.5)clustEff_0.3.1.zip(r-4.4)clustEff_0.3.1.zip(r-4.3)
clustEff_0.3.1.tgz(r-4.5-any)clustEff_0.3.1.tgz(r-4.4-any)clustEff_0.3.1.tgz(r-4.3-any)
clustEff_0.3.1.tar.gz(r-4.5-noble)clustEff_0.3.1.tar.gz(r-4.4-noble)
clustEff_0.3.1.tgz(r-4.4-emscripten)clustEff_0.3.1.tgz(r-4.3-emscripten)
clustEff.pdf |clustEff.html✨
clustEff/json (API)
NEWS
| # Install 'clustEff' in R: |
| install.packages('clustEff', repos = c('https://gianluca-sottile.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 1 years agofrom:34a56bbbc2. Checks:9 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 31 2025 |
| R-4.5-win | OK | Mar 31 2025 |
| R-4.5-mac | OK | Mar 31 2025 |
| R-4.5-linux | OK | Mar 31 2025 |
| R-4.4-win | OK | Mar 31 2025 |
| R-4.4-mac | OK | Mar 31 2025 |
| R-4.4-linux | OK | Mar 31 2025 |
| R-4.3-win | OK | Mar 31 2025 |
| R-4.3-mac | OK | Mar 31 2025 |
Exports:clustEffdistshapeextract.objectfpcacopt.fpcac
Dependencies:abindashbackportsbase64encbitopsbootbroombslibcachemcarcarDatacheckmatecliclustercodacodetoolscolorspacecorrplotcowplotcpp11data.tableDerivdeSolvedigestdoBydplyrevaluatefansifarverfastmapfdafdsFNNfontawesomeforeachforeignFormulafsgenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtablehdrcdehighrHmischtmlTablehtmltoolshtmlwidgetsicenRegisobanditeratorsjquerylibjsonlitekernlabKernSmoothknitrkslabelinglatticelifecyclelme4locfitmagrittrMASSMatrixMatrixModelsmclustmemoisemgcvmicrobenchmarkmimeminqaMLEcensmodelrmulticoolmunsellmvtnormnlmenloptrnnetnumDerivpbkrtestpcaPPpchpillarpkgconfigpolynompracmapurrrqrcmquantregR6rainbowrappdirsrbibutilsRColorBrewerRcppRcppEigenRCurlRdpackreformulasrlangrmarkdownrpartrstatixrstudioapisassscalesSparseMstringistringrsurvivaltibbletidyrtidyselecttinytexutf8vctrsviridisviridisLitewithrxfunyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Clusters of effects curves | clustEff-package |
| Cluster Effects Algorithm | clustEff |
| Dissimilarity matrix | distshape |
| 'extract.object' fits a multivariate quantile regression and extracts objects for the cluster effects algorithm. | extract.object |
| Functional Principal Components Analysis Clustering | fpcac |
| Optimal cluster selection in Functional Principal Components Analysis Clustering | opt.fpcac |
| Plot Clustering Effects | plot.clustEff |
| Plot Functional Principal Component Analysis Clustering | plot.fpcac |
| Summary clustEff algorithm | summary.clustEff |
| Summary FPCAC algorithm | summary.fpcac |
