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:
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 years agofrom:a3d5d638a2. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 09 2024 |
| R-4.5-linux | OK | Dec 09 2024 |
Exports:cvfoldscvmaPLFAMdata_genfpcscoremodelspecpredRisk
Dependencies:ashbitopscliclustercolorspacedeSolvefansifarverfdafdsFNNggplot2gluegtablehdrcdeisobandkernlabKernSmoothkslabelinglatticelifecyclelocfitmagrittrMASSMatrixmclustmgcvmulticoolmunsellmvtnormnlmepcaPPpillarpkgconfigpracmaquadprogR6rainbowRColorBrewerRcppRCurlrlangscalestibbleutf8vctrsviridisLitewithr
