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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.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 form https://CRAN.R-project.org/package=fdaSP to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.