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.

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


Reference manual: DrBats.pdf
Vignettes: DrBats-Data_Simulation_and_Projection
DrBats Dimension Reduction
DrBats Project
DrBats Model Evaluation
DrBats Model Fit


Package source: DrBats_0.1.6.tar.gz
Windows binaries: r-devel: DrBats_0.1.6.zip, r-release: DrBats_0.1.6.zip, r-oldrel: DrBats_0.1.6.zip
macOS binaries: r-release (arm64): DrBats_0.1.6.tgz, r-oldrel (arm64): DrBats_0.1.6.tgz, r-release (x86_64): DrBats_0.1.6.tgz, r-oldrel (x86_64): DrBats_0.1.6.tgz
Old sources: DrBats archive


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