1. The dissimilarity | 2. Waveforms | 3. Effects curves of quantile regression coefficients models | 4. Choosing the number of clusters | 5. FPCAC | References
Package: clustEff 1.0.0
clustEff: Clusters of Effects Curves in Quantile Regression Models
Clustering of curves based on a dissimilarity that combines the concordance of their shapes and their closeness, as proposed by Sottile and Adelfio (2019) <doi:10.1007/s00180-018-0817-8>. The method can be applied to the effects curves of quantile regression coefficients models fitted with 'qrcm', with univariate or multivariate responses, and to curves observed in time, as in functional data analysis. The package also implements the clustering of waveforms by trimmed k-means of functional principal component scores (Adelfio, Chiodi, D'Alessandro and Luzio, 2011).
Authors:
clustEff_1.0.0.tar.gz
clustEff_1.0.0.zip(r-4.7-any)clustEff_1.0.0.zip(r-4.6-any)clustEff_1.0.0.zip(r-4.5-any)
clustEff_1.0.0.tgz(r-4.6-any)clustEff_1.0.0.tgz(r-4.5-any)
clustEff_1.0.0.tar.gz(r-4.7-any)clustEff_1.0.0.tar.gz(r-4.6-any)
clustEff_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
clustEff/json (API)
| # Install 'clustEff' in R: |
| install.packages('clustEff', repos = c('https://gianluca-sottile.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/gianluca-sottile/clusteff/issues
clusteringcurve-clusteringfunctional-data-analysishierarchical-clusteringquantile-regressionstatisticswaveform-clustering
Last updated from:a9faedbff0. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 124 | ||
| source / vignettes | OK | 179 | ||
| linux-release | OK | 153 | ||
| macos-release | OK | 111 | ||
| macos-oldrel | OK | 117 | ||
| windows-devel | OK | 95 | ||
| windows-release | OK | 85 | ||
| windows-oldrel | OK | 76 | ||
| wasm-release | OK | 101 |
Exports:clustEffdistshapeextract_curvesextract.objectfpca_bsplinefpcacopt.fpcac
Dependencies:cluster
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Clusters of Effects Curves | clustEff print.clustEff |
| Shape-Distance Dissimilarity between Curves | distshape |
| Effects Curves of Quantile Regression Coefficients Models | extract_curves print.effects_curves |
| Functional Principal Components Analysis of Curves on a B-spline Basis | fpca_bspline |
| Functional PCA-based Clustering of Curves (FPCAC) | fpcac print.fpcac |
| Number of Clusters for FPCAC | opt.fpcac plot.opt.fpcac print.opt.fpcac |
| Plot Clusters of Curves | plot.clustEff |
| Plot an FPCAC Fit | plot.fpcac |
| Summarize Clusters of Curves | print.summary.clustEff summary.clustEff |
| Summarize an FPCAC Fit | print.summary.fpcac summary.fpcac |