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.
- Version1.1.1
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- Last release10/05/2023
Team
Mauro Bernardi
Antonio Canale
Show author detailsRolesContributorMarco Stefanucci
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- Imports6 packages
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