Package: kml3d 2.5.0
Christophe Genolini
kml3d: K-Means for Joint Longitudinal Data
An implementation of k-means specifically design to cluster joint trajectories (longitudinal data on several variable-trajectories). Like 'kml', it provides facilities to deal with missing value, compute several quality criterion (Calinski and Harabatz, Ray and Turie, Davies and Bouldin, BIC,...) and propose a graphical interface for choosing the 'best' number of clusters. In addition, the 3D graph representing the mean joint-trajectories of each cluster can be exported through LaTeX in a 3D dynamic rotating PDF graph.
Authors:
kml3d_2.5.0.tar.gz
kml3d_2.5.0.tar.gz(r-4.5-noble)kml3d_2.5.0.tar.gz(r-4.4-noble)
kml3d_2.5.0.tgz(r-4.4-emscripten)kml3d_2.5.0.tgz(r-4.3-emscripten)
kml3d.pdf |kml3d.html✨
kml3d/json (API)
NEWS
| # Install 'kml3d' in R: |
| install.packages('kml3d', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- pregnandiol - ~ Pregnandiol measure (from QUIDEL database, René Écochard) ~
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 months agofrom:a00002aaba. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 23 2024 |
| R-4.5-linux | OK | Nov 23 2024 |
Exports:affectIndiv3dcalculTrajMean3dcld3dclusterLongData3ddist3dgald3dgenerateArtificialLongData3dkml3dparKml3dplotplot3dplot3dPdfplotMeans3dplotTraj3d
Dependencies:base64encbslibcachemclasscliclusterclvdigestevaluatefastmapfontawesomefsgluehighrhtmltoolshtmlwidgetsjquerylibjsonlitekmlknitrlifecyclelongitudinalDatamagrittrMASSmemoisemimemisc3dR6rappdirsrglrlangrmarkdownsasstinytexxfunyaml
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| ~ Overview: KmL3D, K-means for joint Longitudinal data ~ | kml3d-package [,ParChoice-method [<-,ParChoice-method |
| ~ Function: affectIndiv3d ~ | affectIndiv3d |
| ~ Function: calculTrajMean3d ~ | calculTrajMean3d |
| ~ Function: clusterLongData3d (or cld3d) ~ | cld3d clusterLongData3d clusterLongData3d,ANY,ANY,ANY,ANY,ANY,ANY clusterLongData3d,ANY,ANY,ANY,ANY,ANY,ANY-method clusterLongData3d,missing,missing,missing,missing,missing,missing clusterLongData3d,missing,missing,missing,missing,missing,missing-method |
| ~ Class: ClusterLongData3d ~ | ClusterLongData3d-class show,ClusterLongData3d-method [,ClusterLongData3d,ANY,missing-method [,ClusterLongData3d-method [<-,ClusterLongData3d,character,missing,missing-method [<-,ClusterLongData3d-method |
| ~ Function: dist3d ~ | dist3d |
| ~ Function: generateArtificialLongData3d (or gald3d) ~ | gald3d generateArtificialLongData3d |
| ~ Algorithm kml3d: K-means for Joint Longitidinal data ~ | kml3d kml3d,ClusterLongData-method kml3d-method |
| ~ Function: parKml3d ~ | parKml3d |
| ~ Function: plot for ClusterLongData3d ~ | plot plot,ClusterLongData3d plot,ClusterLongData3d,ANY-method plot,ClusterLongData3d,missing-method plot,ClusterLongData3d,numeric-method |
| ~ Function: plot3d for ClusterLongData3d ~ | plot3d plot3d,ClusterLongData3d,missing-method plot3d,ClusterLongData3d,numeric-method |
| ~ Function: plot3dPdf for ClusterLongData3d ~ | plot3dPdf plot3dPdf,ClusterLongData3d,missing-method plot3dPdf,ClusterLongData3d,numeric-method plot3dPdf,ClusterLongData3d-method |
| ~ Function: plotMeans3d for ClusterLongData3d ~ | plotMeans3d plotMeans3d,ClusterLongData3d,numeric-method |
| ~ Function: plotTraj3d for ClusterLongData3d ~ | plotTraj3d plotTraj3d,ClusterLongData3d,numeric-method |
| ~ Pregnandiol measure (from QUIDEL database, René Écochard) ~ | pregnandiol |
