Package: clustcurv 2.0.2

Nora M. Villanueva

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. 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:Nora M. Villanueva [aut, cre], Marta Sestelo [aut]

clustcurv_2.0.2.tar.gz
clustcurv_2.0.2.tar.gz(r-4.5-noble)clustcurv_2.0.2.tar.gz(r-4.4-noble)
clustcurv_2.0.2.tgz(r-4.4-emscripten)clustcurv_2.0.2.tgz(r-4.3-emscripten)
clustcurv.pdf |clustcurv.html
clustcurv/json (API)

# Install 'clustcurv' in R:
install.packages('clustcurv', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/noramvillanueva/clustcurv/issues

Datasets:

2.58 score 38 scripts 90 downloads 5 exports 78 dependencies

Last updated 5 days agofrom:d4bcd6cc00. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 26 2024
R-4.5-linuxOKOct 26 2024

Exports:autoplotkregcurvesksurvcurvesregclustcurvessurvclustcurves

Dependencies:base64encbslibcachemclicodetoolscolorspacecommonmarkcpp11crayonDEoptimRdigestdoParalleldoRNGdplyrfansifarverfastmapfontawesomeforeachfsgenericsggfortifyggplot2glueGmediangridExtragtablehtmltoolshttpuvisobanditeratorsjquerylibjsonlitelabelinglaterlatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellnlmenpregfastpillarpkgconfigpromisespurrrR6rappdirsRColorBrewerRcppRcppArmadilloRcppEigenrlangrngtoolsrobustbaseRSpectrasassscalessfsmiscshinyshinyjssourcetoolsstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewesandersonwithrxtable

Clustering Multiple Nonparametric Curves

Rendered fromclustcurv.Rmdusingknitr::rmarkdownon Oct 26 2024.

Last update: 2024-10-25
Started: 2021-01-10