DrBats: Data Representation: Bayesian Approach That's Sparse
Version 0.1.4

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.

Package details

AuthorGabrielle Weinrott [aut, cre], Brigitte Charnomordic [aut], Benedicte Fontez [aut], Nadine Hilgert [aut], Susan Holmes [aut]
Date of publication2016-12-05 18:28:46
MaintainerGabrielle Weinrott <[email protected]>
LicenseGPL-3
Version0.1.4
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("DrBats")

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DrBats documentation built on May 29, 2017, 5:56 p.m.