Package: DrBats 0.1.6

DrBats: Data Representation: Bayesian Approach That's Sparse

Feed longitudinal data into a Bayesian Latent Factor Model to obtain a low-rank representation. Parameters are estimated using a Hamiltonian Monte Carlo algorithm with STAN. See G. Weinrott, B. Fontez, N. Hilgert and S. Holmes, "Bayesian Latent Factor Model for Functional Data Analysis", Actes des JdS 2016.

Authors:Gabrielle Weinrott [aut], Brigitte Charnomordic [ctr], Benedicte Fontez [cre, aut], Nadine Hilgert [ctr], Susan Holmes [ctr], Isabelle Sanchez [ctr]

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Last updated 3 years agofrom:3a09e1e0e1. Checks:OK: 7. Indexed: yes.

Exports:coda.objcoinertia.drbatsdrbats.simulhistoProjmodelFitpca.Devillepca.proj.XtpostdensvisbetavisWW.QRweighted.Deville

Dependencies:abindade4ashbackportsBHbitopscallrcheckmatecliclustercodacolorspacedescdeSolvedistributionalfansifarverfdafdsFNNgenericsggplot2gluegridExtragtablehdrcdeinlineisobandkernlabKernSmoothkslabelinglatticelifecyclelocfitloomagrittrMASSMatrixmatrixStatsmclustmgcvmulticoolmunsellmvtnormnlmenumDerivpcaPPpillarpixmappkgbuildpkgconfigposteriorpracmaprocessxpsQuickJSRR6rainbowRColorBrewerRcppRcppArmadilloRcppEigenRcppParallelRCurlrlangrstanscalessdespStanHeaderstensorAtibbleutf8vctrsviridisLitewithrzoo