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puls  

Partitioning Using Local Subregions
View on CRAN: Click here


Download and install puls package within the R console
Install from CRAN:
install.packages("puls")

Install from Github:
library("remotes")
install_github("cran/puls")

Install by package version:
library("remotes")
install_version("puls", "0.1.2")



Attach the package and use:
library("puls")
Maintained by
Tan Tran
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-12-02
Latest Update: 2021-02-16
Description:
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.
How to cite:
Tan Tran (2020). puls: Partitioning Using Local Subregions. R package version 0.1.2, https://cran.r-project.org/web/packages/puls. Accessed 02 Feb. 2025.
Previous versions and publish date:
0.1.0 (2020-12-02 11:50), 0.1.1 (2020-12-09 09:20)
Other packages that cited puls R package
View puls citation profile
Other R packages that puls depends, imports, suggests or enhances
Complete documentation for puls
Functions, R codes and Examples using the puls R package
Some associated functions: PULS . PULSject . arctic_2019 . as_MonoClust.PULS . checkem . fdistmatrix . find_split . ggwave . plot.PULS . print.PULS . puls-package . smoothed_arctic . splitter . 
Some associated R codes: as_monoclust.puls.R . data.R . fdistmatrix.R . ggwave.R . plot.puls.R . print.puls.R . puls-package.R . puls.R . pulsject.R . utils.R .  Full puls package functions and examples
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