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.

Data Representation: Bayesian Approach That's Sparse

package-ubuntu-20.04-r-4.0.5#cran#DrBats-0.1.5

<p>A stanfit object fitted to the toydata
</p>

package-ubuntu-20.04-r-4.0.5#cran#DrBats-0.1.5#docs#stanfit

stanfit

Description

Usage

Format

DrBats

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