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: | 0.1.5 |
| Depends: | R (≥ 3.1.0), rstan |
| Imports: | ade4, coda, MASS, Matrix, sde |
| Suggests: | fda, ggplot2, knitr, parallel, rmarkdown, testthat |
| Published: | 2019-11-27 |
| Author: | Anne Bisson [cre], Gabrielle Weinrott [aut], Brigitte Charnomordic [aut], Benedicte Fontez [aut], Nadine Hilgert [aut], Susan Holmes [aut] |
| Maintainer: | Anne Bisson <anne.bisson at inra.fr> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| 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_0.1.5.tar.gz |
| Windows binaries: | r-devel: DrBats_0.1.5.zip, r-release: DrBats_0.1.5.zip, r-oldrel: DrBats_0.1.5.zip |
| macOS binaries: | r-release: DrBats_0.1.5.tgz, r-oldrel: DrBats_0.1.5.tgz |
| Old sources: | DrBats archive |
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