Changes in version 0.4-3 (2020-09-09)                  

New Features

  - Added option for users to keep samples of warmup iterations.

Improvements

  - Bug fix [#7].

                 Changes in version 0.4-2 (2020-01-17)                  

New Features

  - Added new function std() for feature standardization.

  - Added new dataset diabetes392.

Improvements

  - htlr() and predict.htlr.fit() now handles non-matrix input, i.e.
    data.frame.

  - Minor speed improvement on htlr() and gendata_FAM().

  - Updated documentation of htlr().

Note

  - Changed package license from GPLv2 to GPLv3.

                 Changes in version 0.4-1 (2019-10-08)                  

Bug Fixes

  - Fixed potential memory leak issue in ARS module.

                  Changes in version 0.4 (2019-10-06)                   

New Features

  - 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.

                         Changes in version 0.3                         

Note

  - This is HTLR originally created by Longhai Li with legacy version
    number 3.1-1.

  - Not compatible with macOS.