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 |
| 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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