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:
cvmaPLFAM_0.1.1.tar.gz
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✨
card.svg |card.png
cvmaPLFAM/json (API)
NEWS
| # Install 'cvmaPLFAM' in R: |
| install.packages('cvmaPLFAM', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:ebb6730094. Checks:4 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 132 | ||
| source / vignettes | OK | 168 | ||
| linux-release-x86_64 | OK | 142 | ||
| wasm-release | OK | 118 |
Exports:cvfoldscvmaPLFAMcvpredRiskdata_genfpcscoremodelspecplam.fit
Dependencies:ashbitopscliclustercolorspacecpp11deSolvefarverfdafdsFNNggplot2gluegtablehdrcdeisobandkernlabKernSmoothkslabelinglatticelifecyclelocfitMASSMatrixmclustmgcvmulticoolmvtnormnlmepcaPPpracmaquadprogR6rainbowRColorBrewerRcppRCurlrlangS7scalesvctrsviridisLitewithr
