Data Representation: Bayesian Approach That's Sparse R package DrBats version 0.1.6 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. Software Depends: R (>= 3.1.0), rstan Imports: ade4, coda, MASS, Matrix, sde Suggests: fda, ggplot2, knitr, parallel, rmarkdown, testthat Benedicte Fontez <benedicte.fontez@supagro.fr> Comprehensive R Archive Network (CRAN) Gabrielle Weinrott [aut], Brigitte Charnomordic [ctr], Benedicte Fontez [cre, aut], Nadine Hilgert [ctr], Susan Holmes [ctr], Isabelle Sanchez [ctr] GPL-3 2022-02-13 application/tgz https://CRAN.R-project.org/package=DrBats doi:10.32614/CRAN.package.DrBats