Package: DrBats
Type: Package
Title: Data Representation: Bayesian Approach That's Sparse
Version: 0.1.6
Authors@R: c(
  person("Gabrielle", "Weinrott", email = "gabrielle.weinrott@supagro.inra.fr", role = "aut"),
  person("Brigitte", "Charnomordic", email = "bch@supagro.inra.fr", role = "ctr"),
  person("Benedicte", "Fontez", email = "benedicte.fontez@supagro.fr", role = c("cre", "aut")),
  person("Nadine", "Hilgert", email = "nadine.hilgert@inrae.fr", role = "ctr"),
  person("Susan", "Holmes", email = "susan@stat.stanford.edu", role = "ctr"),
  person("Isabelle", "Sanchez", email = "isabelle.sanchez@inrae.fr", role = "ctr"))
Maintainer: Benedicte Fontez <benedicte.fontez@supagro.fr>
Description: 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.
Depends: R (>= 3.1.0), rstan
Imports: ade4, coda, MASS, Matrix, sde
License: GPL-3
Encoding: UTF-8
LazyData: TRUE
Suggests: fda, ggplot2, knitr, parallel, rmarkdown, testthat
VignetteBuilder: knitr
NeedsCompilation: no
Author: Gabrielle Weinrott [aut],
  Brigitte Charnomordic [ctr],
  Benedicte Fontez [cre, aut],
  Nadine Hilgert [ctr],
  Susan Holmes [ctr],
  Isabelle Sanchez [ctr]
RoxygenNote: 7.1.2
Packaged: 2022-02-02 15:48:37 UTC; sanchez
Repository: CRAN
Date/Publication: 2022-02-13 19:00:12 UTC
Built: R 4.1.1; ; 2022-02-13 20:25:01 UTC; unix
