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sasfunclust  

Sparse and Smooth Functional Clustering
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("sasfunclust", "1.0.0")



Attach the package and use:
library("sasfunclust")
Maintained by
Fabio Centofanti
[Scholar Profile | Author Map]
First Published: 2021-04-02
Latest Update: 2021-04-02
Description:
Implements the sparse and smooth functional clustering (SaS-Funclust) method (Centofanti et al. (2021) ) that aims to classify a sample of curves into homogeneous groups while jointly detecting the most informative portions of domain.
How to cite:
Fabio Centofanti (2021). sasfunclust: Sparse and Smooth Functional Clustering. R package version 1.0.0, https://cran.r-project.org/web/packages/sasfunclust. Accessed 29 Mar. 2025.
Previous versions and publish date:
No previous versions
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Other R packages that sasfunclust depends, imports, suggests or enhances
Complete documentation for sasfunclust
Functions, R codes and Examples using the sasfunclust R package
Some associated functions: plot.sasfclust . sasfclust . sasfclust_cv . sasfunclust-package . simulate_data . 
Some associated R codes: RcppExports.R . plot_functions.R . sasfunclust-package.R . sasfunclust_functions.R . sasfunclust_name.R . utils.R .  Full sasfunclust package functions and examples
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