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 are facilitated by demos in the package; see demo(package="dynaTree")
| Version: | 1.2-6 |
| Depends: | R (≥ 2.14.0), methods |
| Suggests: | akima, tgp, plgp, MASS |
| Published: | 2012-04-23 |
| Author: | Robert B. Gramacy and Matt A. Taddy |
| Maintainer: | Robert B. Gramacy <rbgramacy at chicagobooth.edu> |
| License: | LGPL (see file LICENSE) |
| URL: | http://faculty.chicagobooth.edu/robert.gramacy/dynaTree.html |
| NeedsCompilation: | yes |
| In views: | ExperimentalDesign |
| CRAN checks: | dynaTree results |
| Package source: | dynaTree_1.2-6.tar.gz |
| MacOS X binary: | dynaTree_1.2-6.tgz |
| Windows binary: | dynaTree_1.2-6.zip |
| Reference manual: | dynaTree.pdf |
| News/ChangeLog: | ChangeLog |
| Old sources: | dynaTree archive |