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
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-prerel: fdaSP_1.1.1.zip, r-release: fdaSP_1.1.1.zip, r-oldrel: fdaSP_1.1.1.zip
macOS binaries: r-prerel (arm64): fdaSP_1.1.1.tgz, r-release (arm64): fdaSP_1.1.1.tgz, r-oldrel (arm64): fdaSP_1.1.1.tgz, r-prerel (x86_64): fdaSP_1.1.1.tgz, r-release (x86_64): fdaSP_1.1.1.tgz
Old sources: fdaSP archive

Linking:

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