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fdaSP (version 1.1.1)

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) for complete introduction to the method.

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Version

Install

install.packages('fdaSP')

Monthly Downloads

169

Version

1.1.1

License

GPL (>= 3)

Maintainer

Mauro Bernardi

Last Published

October 5th, 2023

Functions in fdaSP (1.1.1)

confband

Function to plot the confidence bands
f2fSP

Overlap Group Least Absolute Shrinkage and Selection Operator for function-on-function regression model
f2sSP

Overlap Group Least Absolute Shrinkage and Selection Operator for scalar-on-function regression model
lmSP_cv

Cross-validation for Sparse Adaptive Overlap Group Least Absolute Shrinkage and Selection Operator
softhresh

Function to solve the soft thresholding problem
fdaSP-package

tools:::Rd_package_title("fdaSP")
lmSP

Sparse Adaptive Overlap Group Least Absolute Shrinkage and Selection Operator
f2fSP_cv

Cross-validation for Overlap Group Least Absolute Shrinkage and Selection Operator for function-on-function regression model
f2sSP_cv

Cross-validation for Overlap Group Least Absolute Shrinkage and Selection Operator on scalar-on-function regression model