Clustering multiple survival curves | Introduction | Algorithm for determing groups of survival curves | Based on $K$-medians | Based on $K$-means | Clustering multiple regression curves
Package: clustcurv 3.0.1
clustcurv: Determining Groups in Multiples Curves
A method for determining groups in multiple curves with an automatic selection of their number based on k-means or k-medians algorithms. The selection of the optimal number is provided by bootstrap methods or other approaches with lower computational cost. The methodology can be applied both in regression and survival framework. Implemented methods are: Grouping multiple survival curves described by Villanueva et al. (2018) <doi:10.1002/sim.8016>.
Authors:
clustcurv_3.0.1.tar.gz
clustcurv_3.0.1.zip(r-4.7)clustcurv_3.0.1.zip(r-4.6)clustcurv_3.0.1.zip(r-4.5)
clustcurv_3.0.1.tgz(r-4.6-any)clustcurv_3.0.1.tgz(r-4.5-any)
clustcurv_3.0.1.tar.gz(r-4.7-any)clustcurv_3.0.1.tar.gz(r-4.6-any)
clustcurv_3.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
clustcurv/json (API)
| # Install 'clustcurv' in R: |
| install.packages('clustcurv', repos = c('https://noramvillanueva.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/noramvillanueva/clustcurv/issues
Datasets:
- barnacle5 - Barnacle data
clusteringdata-analyticsmachinelearningmultiple-curvesnonparametric-statisticsnumber-of-clustersregressionsurvival-analysis
Last updated from:d4fad97770. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 200 | ||
| source / vignettes | OK | 248 | ||
| linux-release-x86_64 | OK | 208 | ||
| macos-release-arm64 | OK | 137 | ||
| macos-oldrel-arm64 | OK | 296 | ||
| windows-devel | OK | 133 | ||
| windows-release | OK | 122 | ||
| windows-oldrel | OK | 130 | ||
| wasm-release | OK | 137 |
Exports:autoplotkregcurvesksurvcurvesregclustcurvessurvclustcurves
Dependencies:abindbackportsbase64encbootbroombslibcachemcarcarDataclicodetoolscolorspacecommonmarkcorrplotcowplotcpp11curlDEoptimRDerivdigestdoBydoParalleldoRNGdplyrexactRankTestsfarverfastmapfontawesomeforeachforecastFormulafracdifffsgenericsggfortifyggplot2ggpubrggrepelggsciggsignifggtextglueGmediangridExtragridtextgtablehtmltoolshttpuvisobanditeratorsjpegjquerylibjsonlitelabelinglaterlatticelifecyclelitedownlme4lmtestmagrittrmarkdownMASSMatrixMatrixModelsmaxstatmemoisemgcvmicrobenchmarkmimeminqamodelrmvtnormnlmenloptrnnetnpregfastnumDerivotelpbkrtestpillarpkgconfigpngpolynompromisespurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangrngtoolsrobustbaseRSpectrarstatixS7sassscalessfsmiscshinyshinyjssourcetoolsSparseMstringistringrsurvivalsurvminertibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewesandersonwithrxfunxml2xtablezoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Visualization of 'clustcurves' objects with ggplot2 graphics | autoplot.clustcurves |
| Barnacle data | barnacle5 |
| 'clustcurv': Determining Groups in Multiple Curves. | clustcurv-package clustcurv |
| k-groups of multiple regression curves | kregcurves |
| k-groups of multiple survival curves | ksurvcurves |
| Clustering multiple regression curves | regclustcurves |
| Summarizing fits of 'kclustcurves' class produced by 'survclustcurves' and 'regclustcurves' | summary.clustcurves |
| Summarizing fits of 'kcurves' class produced by 'ksurvcurves' and 'kregcurves' | summary.kcurves |
| Clustering multiple survival curves | survclustcurves |
