dynaTree (1.0-1)

Dynamic trees for learning and design.


Inference by sequential Monte Carlo for dynamic tree regression and classification models by particle learning (PL), with hooks provided for sequential design and optimization. Illustrative examples from the original dynamic trees paper are facilitated by demos in the package; see demo(package="dynaTree")

Maintainer: Robert B. Gramacy
Author(s): Robert B. Gramacy <bobby@statslab.cam.ac.uk> and Matt A. Taddy <taddy@chicagobooth.edu>

License: LGPL

Uses: akima, tgp, MASS, plgp

Released about 9 years ago.