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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.
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Package details |
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| 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@supagro.fr> |
| License | GPL-3 |
| Version | 0.1.6 |
| Package repository | View on CRAN |
| Installation |
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