Package: cvmaPLFAM 0.1.0

Shishi Liu

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>.

Authors:Shishi Liu [aut, cre], Jingxiao Zhang [aut]

cvmaPLFAM_0.1.0.tar.gz
cvmaPLFAM_0.1.0.tar.gz(r-4.5-noble)cvmaPLFAM_0.1.0.tar.gz(r-4.4-noble)
cvmaPLFAM_0.1.0.tgz(r-4.4-emscripten)cvmaPLFAM_0.1.0.tgz(r-4.3-emscripten)
cvmaPLFAM.pdf |cvmaPLFAM.html✨
cvmaPLFAM/json (API)

# Install 'cvmaPLFAM' in R:
install.packages('cvmaPLFAM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 167 downloads 6 exports 49 dependencies

Last updated 1 years agofrom:a3d5d638a2. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 09 2024
R-4.5-linuxOKNov 09 2024

Exports:cvfoldscvmaPLFAMdata_genfpcscoremodelspecpredRisk

Dependencies:ashbitopscliclustercolorspacedeSolvefansifarverfdafdsFNNggplot2gluegtablehdrcdeisobandkernlabKernSmoothkslabelinglatticelifecyclelocfitmagrittrMASSMatrixmclustmgcvmulticoolmunsellmvtnormnlmepcaPPpillarpkgconfigpracmaquadprogR6rainbowRColorBrewerRcppRCurlrlangscalestibbleutf8vctrsviridisLitewithr