Added new function std()
for feature standardization.
Added new dataset diabetes392
.
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()
.
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.
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