LDATS is an R package for analyzing time series of high-dimensional data using a two-stage approach comprised of Latent Dirichlet Allocation (LDA) and Bayesian time series (TS) analyses.
Authors
Juniper L. Simonis, Erica M. Christensen, David J. Harris, Renata M. Diaz, Hao Ye, Ethan White, and S. K. Morgan Ernest