fdaSP-package: Sparse Functional Data Analysis Methods
In fdaSP: Sparse Functional Data Analysis Methods
fdaSP-package R Documentation
Sparse Functional Data Analysis Methods
Description
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.
Package Content
Index: This package was not yet installed at build time.
Maintainer
Mauro Bernardi <mauro.bernardi@unipd.it>
Author(s)
Mauro Bernardi [aut, cre],
Marco Stefanucci [aut],
Antonio Canale [ctb]
fdaSP documentation built on Oct. 6, 2023, 1:07 a.m.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
| fdaSP-package | R Documentation |
Sparse Functional Data Analysis Methods
Description
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.
Package Content
Index: This package was not yet installed at build time.
Maintainer
Mauro Bernardi <mauro.bernardi@unipd.it>
Author(s)
Mauro Bernardi [aut, cre], Marco Stefanucci [aut], Antonio Canale [ctb]
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.