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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.6 |
2026-04-09 windows/windows R-4.5 | DrBats_0.1.6.zip |
1.2 MiB |