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cvmaPLFAM (version 0.1.1)

Cross-Validation Model Averaging for Partial Linear Functional Additive Models

Description

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 .

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Version

Install

install.packages('cvmaPLFAM')

Monthly Downloads

135

Version

0.1.1

License

GPL (>= 3)

Maintainer

Shishi Liu

Last Published

April 28th, 2025

Functions in cvmaPLFAM (0.1.1)

cvmaPLFAM

Cross-Validation Model Averaging (CVMA) for Partial Linear Functional Additive Models (PLFAMs)
fpcscore

Calculate functional principal component (fpc) scores
cvfolds

Generate cross-validation folds
cvpredRisk

Output the prediction risks of the cross-validation model averaging (CVMA) method for partial linear functional additive models (PLFAMs)
plam.fit

Fitting partial linear functional additive model
modelspec

Generate candidate models
data_gen

Simulated data