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 Shishi Liu and Jingxiao Zhang. (2021) <doi:10.48550/arXiv.2105.00966>.

Version: 0.1.0
Imports: fda, quadprog, mgcv, MASS, stats, utils
Published: 2023-06-09
Author: Shishi Liu [aut, cre], Jingxiao Zhang [aut]
Maintainer: Shishi Liu <liushishi_644 at 163.com>
License: GPL (≥ 3)
NeedsCompilation: no
CRAN checks: cvmaPLFAM results

Documentation:

Reference manual: cvmaPLFAM.pdf

Downloads:

Package source: cvmaPLFAM_0.1.0.tar.gz
Windows binaries: r-prerel: cvmaPLFAM_0.1.0.zip, r-release: cvmaPLFAM_0.1.0.zip, r-oldrel: cvmaPLFAM_0.1.0.zip
macOS binaries: r-prerel (arm64): cvmaPLFAM_0.1.0.tgz, r-release (arm64): cvmaPLFAM_0.1.0.tgz, r-oldrel (arm64): cvmaPLFAM_0.1.0.tgz, r-prerel (x86_64): cvmaPLFAM_0.1.0.tgz, r-release (x86_64): cvmaPLFAM_0.1.0.tgz

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