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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install.packages("DrBats")

0.1.4 by Gabrielle Weinrott, a year ago


Browse source code at https://github.com/cran/DrBats


Authors: Gabrielle Weinrott [aut, cre], Brigitte Charnomordic [aut], Benedicte Fontez [aut], Nadine Hilgert [aut], Susan Holmes [aut]


Documentation:   PDF Manual  


GPL-3 license


Imports ade4, coda, MASS, Matrix, rstan, sde

Suggests fda, ggplot2, knitr, parallel, rmarkdown, testthat


See at CRAN