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sasfunclust
View on CRAN: Click
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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]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.sasfunclust . https://github.com/unina-sfere/sasfunclust/issues . https://github.com/unina-sfere/sasfunclust . sasfunclust results . sasfunclust.pdf . sasfunclust_1.0.0.tar.gz . sasfunclust_1.0.0.zip . sasfunclust_1.0.0.zip . sasfunclust_1.0.0.zip . sasfunclust_1.0.0.tgz . sasfunclust_1.0.0.tgz . sasfunclust_1.0.0.tgz . sasfunclust_1.0.0.tgz . https://CRAN.R-project.org/package=sasfunclust .
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 19 Apr. 2025.
Previous versions and publish date:
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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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