Changes and New Features in 1.5 (2018-02-02):

        * fix bug: ambiguous call of floor surrounding integer division

	* fix bug: x.test is not an argument of recur.pre.bart

        * enhancement: recur.pre.bart can now handle NA entries in
	  the times and delta matrices as long as they are not the
	  first entry of the row

Changes and New Features in 1.4 (2018-02-02):

        * fixed library bloat on Linux with strip

	* x.train and x.test can be supplied as data.frames
	  which contain factors as stated in the documentation

	* cutpoints now based on data itself, i.e., binary or
	  ordinal covariates.  Similarly, you can request 
	  quantiles via the usequants setting. 

	* sparse variable selection now available with the
	  sparse=TRUE argument; see the documentation

	* new vignettes

	* new function, mc.lbart, for Logistic BART in parallel

	* mbart updated to equivalent functionality as other functions

	* new function, mc.mbart, for Multinomial BART in parallel

Changes and New Features in 1.3 (2017-09-18):

        * new examples in demo directory

	* return ndpost values rather ndpost/keepevery

	* for calling BART directly from C++, you can
	  now use the RNG provided by Rmath or the STL random class
	  see the improved example in cxx-ex

	* new predict S3 methods, see predict.wbart and other
	  predict variants

	* Added Geweke diagnostics for pbart, surv.bart, etc.
	  See gewekediag which is adapted from the coda package

	* Logistic BART added for binary outcomes; see lbart

	* Multinomial BART added for categorical outcomes; see mbart

Changes and New Features in 1.2 (2017-04-30):

	* you can now call BART directly from C++ with the Rmath library 
	  see new header rn.h and the example in cxx-ex

Changes and New Features in 1.1 (2017-04-13):

	* No user visible changes: bug-fix release

Changes and New Features in 1.0 (2017-04-07):

	* First release on CRAN
