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 |
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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