PFLR: Estimating Penalized Functional Linear Regression

Implementation of commonly used penalized functional linear regression models, including the Smooth and Locally Sparse (SLoS) method by Lin et al. (2016) <doi:10.1080/10618600.2016.1195273>, Nested Group bridge Regression (NGR) method by Guan et al. (2020) <doi:10.1080/10618600.2020.1713797>, Functional Linear Regression That's interpretable (FLIRTI) by James et al. (2009) <doi:10.1214/08-AOS641>, and the Penalized B-spline regression method.

Version:	1.1.0
Depends:	R (≥ 3.5.0)
Imports:	fda, MASS, flare, psych, glmnet, stats, utils
Published:	2024-08-22
DOI:	10.32614/CRAN.package.PFLR
Author:	Tianyu Guan [aut], Haolun Shi [aut, cre, cph], Rob Cameron [aut], Zhenhua Lin [aut]
Maintainer:	Haolun Shi <shl2003 at connect.hku.hk>
License:	GPL-2
NeedsCompilation:	no
CRAN checks:	PFLR results

Documentation:

Reference manual:

PFLR.html , PFLR.pdf

Downloads:

Package source:	PFLR_1.1.0.tar.gz
Windows binaries:	r-devel: PFLR_1.1.0.zip, r-release: PFLR_1.1.0.zip, r-oldrel: PFLR_1.1.0.zip
macOS binaries:	r-release (arm64): PFLR_1.1.0.tgz, r-oldrel (arm64): PFLR_1.1.0.tgz, r-release (x86_64): PFLR_1.1.0.tgz, r-oldrel (x86_64): PFLR_1.1.0.tgz
Old sources:	PFLR archive

Linking:

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