fdaSP: Sparse Functional Data Analysis Methods (original) (raw)
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 |
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