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cvmaPLFAM  

Cross-Validation Model Averaging for Partial Linear Functional Additive Models
View on CRAN: Click here


Download and install cvmaPLFAM package within the R console
Install from CRAN:
install.packages("cvmaPLFAM")

Install from Github:
library("remotes")
install_github("cran/cvmaPLFAM")

Install by package version:
library("remotes")
install_version("cvmaPLFAM", "0.1.0")



Attach the package and use:
library("cvmaPLFAM")
Maintained by
Shishi Liu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-06-09
Latest Update: 2023-06-09
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 Shishi Liu and Jingxiao Zhang. (2021) .
How to cite:
Shishi Liu (2023). cvmaPLFAM: Cross-Validation Model Averaging for Partial Linear Functional Additive Models. R package version 0.1.0, https://cran.r-project.org/web/packages/cvmaPLFAM. Accessed 03 Dec. 2024.
Previous versions and publish date:
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Complete documentation for cvmaPLFAM
Functions, R codes and Examples using the cvmaPLFAM R package
Some associated functions: cvfolds . cvmaPLFAM . data_gen . fpcscore . modelspec . predRisk . 
Some associated R codes: cvfolds.R . cvmaPLFAM.R . data_gen.R . fpcscore.R . modelspec.R . plam.fit.R . predRisk.R . simu_funs.R .  Full cvmaPLFAM package functions and examples
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