Package: cvmaPLFAM 0.1.1

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 arXiv e-Prints via <doi:10.48550/arXiv.2105.00966>.

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

cvmaPLFAM_0.1.1.tar.gz
cvmaPLFAM_0.1.1.zip(r-4.7-any)cvmaPLFAM_0.1.1.zip(r-4.6-any)
cvmaPLFAM_0.1.1.tar.gz(r-4.7-any)cvmaPLFAM_0.1.1.tar.gz(r-4.6-any)
cvmaPLFAM_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
cvmaPLFAM/json (API)

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

On CRAN:

Conda:

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

1.00 score 315 downloads 7 exports 44 dependencies

Last updated from:ebb6730094. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK121
source / vignettesOK186
linux-releaseOK127
windows-develOK88
windows-releaseOK134
wasm-releaseOK96

Exports:cvfoldscvmaPLFAMcvpredRiskdata_genfpcscoremodelspecplam.fit

Dependencies:ashbitopscliclustercolorspacecpp11deSolvefarverfdafdsFNNggplot2gluegtablehdrcdeisobandkernlabKernSmoothkslabelinglatticelifecyclelocfitMASSMatrixmclustmgcvmulticoolmvtnormnlmepcaPPpracmaquadprogR6rainbowRColorBrewerRcppRCurlrlangS7scalesvctrsviridisLitewithr