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fdaSP: Sparse Functional Data Analysis Methods

Provides algorithms to fit linear regression models under several popular penalization techniques and functional linear regression models based on Majorizing-Minimizing (MM) and Alternating Direction Method of Multipliers (ADMM) techniques. See Boyd et al (2010) <doi:10.1561/2200000016> for complete introduction to the method.

Version:1.1.1
Imports:Rcpp,Rdpack, grDevices, graphics, stats, parallel,doParallel,foreach, splines,ks,pracma
LinkingTo:Rcpp,RcppArmadillo
Suggests:RColorBrewer,gglasso,glmnet,latex2exp, utils
Published:2023-10-05
DOI:10.32614/CRAN.package.fdaSP
Author:Mauro Bernardi [aut, cre], Marco Stefanucci [aut], Antonio Canale [ctb]
Maintainer:Mauro Bernardi <mauro.bernardi at unipd.it>
License:GPL (≥ 3)
NeedsCompilation:yes
CRAN checks:fdaSP results

Documentation:

Reference manual:fdaSP.html ,fdaSP.pdf

Downloads:

Package source: fdaSP_1.1.1.tar.gz
Windows binaries: r-devel:fdaSP_1.1.1.zip, r-release:fdaSP_1.1.1.zip, r-oldrel:fdaSP_1.1.1.zip
macOS binaries: r-release (arm64):fdaSP_1.1.1.tgz, r-oldrel (arm64):fdaSP_1.1.1.tgz, r-release (x86_64):fdaSP_1.1.1.tgz, r-oldrel (x86_64):fdaSP_1.1.1.tgz
Old sources: fdaSP archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=fdaSPto link to this page.


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