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) <arXiv:2105.00966>.

Getting started

Package details

AuthorShishi Liu [aut, cre], Jingxiao Zhang [aut]
MaintainerShishi Liu <liushishi_644@163.com>
LicenseGPL (>= 3)
Version0.1.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("cvmaPLFAM")

Try the cvmaPLFAM package in your browser

Any scripts or data that you put into this service are public.

cvmaPLFAM documentation built on July 9, 2023, 6:30 p.m.