DrBats (0.1.4)

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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.

Maintainer: Gabrielle Weinrott
Author(s): Gabrielle Weinrott [aut, cre], Brigitte Charnomordic [aut], Benedicte Fontez [aut], Nadine Hilgert [aut], Susan Holmes [aut]

License: GPL-3

Uses: ade4, coda, MASS, Matrix, rstan, sde, fda, ggplot2, testthat, knitr, rmarkdown

Released about 3 years ago.

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