Package: longke 0.1.0

longke: Nonparametric Predictive Model for Sparse and Irregular Longitudinal Data

The proposed method aims at predicting the longitudinal mean response trajectory by a kernel-based estimator. The kernel estimator is constructed by imposing weights based on subject-wise similarity on L2 metric space between predictor trajectories as well as time proximity. Users could also perform variable selections to derive functional predictors with predictive significance by the proposed multiplicative model with multivariate Gaussian kernels.

Authors:Shixuan Wang [aut, cre], Seonjin Kim [aut], Hyunkeun Cho [aut], Won Chang [aut]

longke_0.1.0.tar.gz
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longke.pdf |longke.html✨
longke/json (API)

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

5 exports 0.00 score 78 dependencies 156 downloads

Last updated 1 years agofrom:d41855db12. Checks:OK: 7. Indexed: yes.

Exports:datagenFPCA_trajectoryKE_bwselectionKE_fitKE_trajSCB

Dependencies:backportsbase64encbslibbvlscachemcheckmatecliclustercolorspacecpp11data.tabledigestdplyrevaluatefansifarverfastmapfdapacefontawesomeforeignFormulafsgenericsggplot2gluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsisobandjquerylibjsonliteknitrlabelinglatticelifecyclemagrittrMASSMatrixmemoisemgcvmimemunsellmvtnormnlmennetnumDerivpillarpkgconfigpracmapurrrR6rappdirsRColorBrewerRcppRcppEigenrlangrmarkdownrpartrstudioapisassscalesstringistringrtibbletidyrtidyselecttinytexutf8vctrsviridisviridisLitewithrxfunyaml