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.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'))

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

Datasets:

arctic_2019 - NOAA's Arctic Sea Daily Ice Extend Data
smoothed_arctic - Discrete Form of Smoothed Functional Form of Arctic Data

On CRAN:

clustering functional-data-analysis monothetic

3.70 score 4 scripts 190 downloads 3 exports 70 dependencies

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

Target	Result	Date
Doc / Vignettes	OK	Nov 13 2024
R-4.5-win	NOTE	Nov 13 2024
R-4.5-linux	NOTE	Nov 13 2024
R-4.4-win	OK	Nov 13 2024
R-4.4-mac	OK	Nov 13 2024
R-4.3-win	OK	Nov 13 2024
R-4.3-mac	OK	Nov 13 2024

Exports:fdistmatrix ggwave PULS

Dependencies:ash bitops cli cluster codetools colorspace cpp11 deSolve doParallel dplyr evaluate fansi farver fda fda.usc fds FNN foreach generics ggplot2 glue gtable hdrcde highr isoband iterators kernlab KernSmooth knitr ks kSamples labeling lattice lifecycle locfit magrittr MASS Matrix mclust mgcv monoClust multicool munsell mvtnorm nlme pcaPP permute pillar pkgconfig pracma purrr R6 rainbow RColorBrewer Rcpp RCurl rlang scales stringi stringr SuppDists tibble tidyr tidyselect utf8 vctrs viridisLite withr xfun yaml

Partitioning Using Local Subregions

Rendered frompuls.Rmdusingknitr::rmarkdownon Nov 13 2024.

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

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
NOAA's Arctic Sea Daily Ice Extend Data	arctic_2019
Coerce a PULS Object to MonoClust Object	as_MonoClust.PULS
Distance Between Functional Objects	fdistmatrix
Plot the Partitioned Functional Wave by PULS	ggwave
Plot PULS Splitting Rule Tree	plot.PULS
Print PULS Clustering Result	print.PULS
Partitioning Using Local Subregions (PULS)	PULS
PULS Tree Object	PULS.object
Discrete Form of Smoothed Functional Form of Arctic Data	smoothed_arctic