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.
Version: 0.1.6 Depends: R (≥ 3.1.0), rstan Imports: ade4, coda, MASS, Matrix, sde Suggests: fda, ggplot2, knitr, parallel, rmarkdown, testthat Published: 2022-02-13 DOI: 10.32614/CRAN.package.DrBats Author: Gabrielle Weinrott [aut], Brigitte Charnomordic [ctr], Benedicte Fontez [cre, aut], Nadine Hilgert [ctr], Susan Holmes [ctr], Isabelle Sanchez [ctr] Maintainer: Benedicte Fontez <benedicte.fontez at supagro.fr> License: GPL-3 NeedsCompilation: no Materials: README CRAN checks: DrBats results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=DrBats to link to this page.
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