Package: puls 0.1.2

puls: Partitioning Using Local Subregions

A method of clustering functional data using subregion information of the curves. It is intended to supplement the 'fda' and 'fda.usc' packages in functional data object clustering. It also facilitates the printing and plotting of the results in a tree format and limits the partitioning candidates into a specific set of subregions.

Authors:Mark Greenwood [aut], Tan Tran [aut, cre]

puls_0.1.2.tar.gz
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puls_0.1.2.tgz(r-4.4-any)puls_0.1.2.tgz(r-4.3-any)
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puls.pdf |puls.html
puls/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/vinhtantran/puls/issues

Datasets:

On CRAN:

clusteringfunctional-data-analysismonothetic

3 exports 0.63 score 65 dependencies 4 scripts 248 downloads

Last updated 4 years agofrom:1eda827517. Checks:OK: 5 NOTE: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 14 2024
R-4.5-winNOTESep 14 2024
R-4.5-linuxNOTESep 14 2024
R-4.4-winOKSep 14 2024
R-4.4-macOKSep 14 2024
R-4.3-winOKSep 14 2024
R-4.3-macOKSep 14 2024

Exports:fdistmatrixggwavePULS

Dependencies:ashbitopscliclustercodetoolscolorspacecpp11deSolvedoParalleldplyrfansifarverfdafda.uscfdsFNNforeachgenericsggplot2gluegtablehdrcdeisobanditeratorskernlabKernSmoothkskSampleslabelinglatticelifecyclelocfitmagrittrMASSMatrixmclustmgcvmonoClustmulticoolmunsellmvtnormnlmepcaPPpermutepillarpkgconfigpracmapurrrR6rainbowRColorBrewerRcppRCurlrlangscalesstringistringrSuppDiststibbletidyrtidyselectutf8vctrsviridisLitewithr

Partitioning Using Local Subregions

Rendered frompuls.Rmdusingknitr::rmarkdownon Sep 14 2024.

Last update: 2020-11-28
Started: 2020-11-27