This is the first released version of revamped HTLR.
The Gibbs sampling routine is completely refactored using RcppArmadillo, which leads to a significant performance gain on multi-core/distributed machines.
The fitted model object is registered to S3 class htlrfit, coming with a set of useful S3 methods print, summary, predict, as.matrix, and nobs.
New model fitting function htlr has a more accessible interface, while htlr_fit and htlr_predict are still keeped for the best possible backward compatibility.
Better cohesion with bayesplot and other packages of RStan toolchain.
Added new dataset colon.
This is HTLR originally created by Longhai Li with legacy version number 3.1-1.
Not compatible with macOS.