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
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cvmaPLFAM_0.1.0.tgz(r-4.4-emscripten)cvmaPLFAM_0.1.0.tgz(r-4.3-emscripten)
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cvmaPLFAM/json (API)

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6 exports 0.00 score 49 dependencies 182 downloads

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

Exports:cvfoldscvmaPLFAMdata_genfpcscoremodelspecpredRisk

Dependencies:ashbitopscliclustercolorspacedeSolvefansifarverfdafdsFNNggplot2gluegtablehdrcdeisobandkernlabKernSmoothkslabelinglatticelifecyclelocfitmagrittrMASSMatrixmclustmgcvmulticoolmunsellmvtnormnlmepcaPPpillarpkgconfigpracmaquadprogR6rainbowRColorBrewerRcppRCurlrlangscalestibbleutf8vctrsviridisLitewithr