fdaSP-package: Sparse Functional Data Analysis Methods

fdaSP-packageR Documentation

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.

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Mauro Bernardi <mauro.bernardi@unipd.it>


Mauro Bernardi [aut, cre], Marco Stefanucci [aut], Antonio Canale [ctb]

fdaSP documentation built on Oct. 6, 2023, 1:07 a.m.