Inference by sequential Monte Carlo for
dynamic tree regression and classification models
with hooks provided for sequential design and optimization,
fully online learning with drift, variable selection, and
sensitivity analysis of inputs. Illustrative
examples from the original dynamic trees paper
(Gramacy, Taddy & Polson (2011); ) are facilitated
by demos in the package; see demo(package="dynaTree").