cvmaPLFAM: Cross-Validation Model Averaging for Partial Linear Functional Additive Models

Produce an averaging estimate/prediction by combining all candidate models for partial linear functional additive models, using multi-fold cross-validation criterion. More details can be referred to arXiv e-Prints via <doi:10.48550/arXiv.2105.00966>.

Version:	0.1.1
Imports:	fda, quadprog, mgcv, MASS, stats, utils
Published:	2025-04-28
Author:	Shishi Liu [aut, cre], Jingxiao Zhang [aut]
Maintainer:	Shishi Liu <liushishi_644 at 163.com>
License:	GPL (≥ 3)
NeedsCompilation:	no
Materials:	NEWS
CRAN checks:	cvmaPLFAM results

Documentation:

Reference manual:

cvmaPLFAM.pdf

Downloads:

Package source:	cvmaPLFAM_0.1.1.tar.gz
Windows binaries:	r-devel: cvmaPLFAM_0.1.0.zip, r-release: cvmaPLFAM_0.1.0.zip, r-oldrel: cvmaPLFAM_0.1.0.zip
macOS binaries:	r-release (arm64): cvmaPLFAM_0.1.0.tgz, r-oldrel (arm64): cvmaPLFAM_0.1.0.tgz, r-release (x86_64): cvmaPLFAM_0.1.0.tgz, r-oldrel (x86_64): cvmaPLFAM_0.1.1.tgz
Old sources:	cvmaPLFAM archive

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