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PFLR (version 1.1.0)

Estimating Penalized Functional Linear Regression

Description

Implementation of commonly used penalized functional linear regression models, including the Smooth and Locally Sparse (SLoS) method by Lin et al. (2016) , Nested Group bridge Regression (NGR) method by Guan et al. (2020) , Functional Linear Regression That's interpretable (FLIRTI) by James et al. (2009) , and the Penalized B-spline regression method.

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Version

Install

install.packages('PFLR')

Monthly Downloads

177

Version

1.1.0

License

GPL-2

Maintainer

Haolun Shi

Last Published

August 22nd, 2024

Functions in PFLR (1.1.0)

predict.ps

Predict Method for Penalized B-splines objects
FLiRTI

FLiRTI Regression Model
predict.flirti

Predict Method for flirti Objects
plot.ngr

Plot Method for ngr Objects
plot.slos

Plot Method for SLoS Objects
SLoS

SLoS regression Model
ngr

Nested Group Bridge Regression Model
PenS

Penalized B-splines Regression Model
summary.ngr

Summary Method for ngr Objects
ngr.data.generator.bsplines

Generating random curves from B-Splines
summary.slos

Summary Method for SLoS Objects
truck

Truck emissions data
plot.flirti

Plot Method for flirti Objects
plot.ps

Plot Method for Penalized B-splines Objects
predict.slos

Predict Method for SLoS objects
summary.flirti

Summary Method for flirti Objects
predict.ngr

Predict Method for ngr Objects
summary.ps

Summary Method for Penalized B-splines Objects