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HTLR 0.4-3

New Features

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

Improvements

• Bug fix [#7].

HTLR 0.4-2

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.

HTLR 0.4-1

Bug Fixes

• Fixed potential memory leak issue in ARS module.

HTLR 0.4

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.

HTLR 0.3

Note

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

• Not compatible with macOS.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.