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); <doi:10.1198/jasa.2011.ap09769>) are facilitated by demos in the package; see demo(package="dynaTree").
| Version: | 1.2-13 |
| Depends: | R (≥ 2.14.0), methods |
| Suggests: | interp, tgp, plgp, MASS |
| Published: | 2022-06-13 |
| Author: | Robert B. Gramacy, Matt A. Taddy and Christoforos Anagnostopoulos |
| Maintainer: | Robert B. Gramacy <rbg at vt.edu> |
| License: | LGPL-2 | LGPL-2.1 | LGPL-3 [expanded from: LGPL] |
| URL: | https://bobby.gramacy.com/r_packages/dynaTree/ |
| NeedsCompilation: | yes |
| Materials: | ChangeLog |
| In views: | ExperimentalDesign |
| CRAN checks: | dynaTree results |
| Reference manual: | dynaTree.pdf |
| Package source: | dynaTree_1.2-13.tar.gz |
| Windows binaries: | r-devel: dynaTree_1.2-13.zip, r-release: dynaTree_1.2-13.zip, r-oldrel: dynaTree_1.2-13.zip |
| macOS binaries: | r-release (arm64): dynaTree_1.2-13.tgz, r-oldrel (arm64): dynaTree_1.2-13.tgz, r-release (x86_64): dynaTree_1.2-13.tgz, r-oldrel (x86_64): dynaTree_1.2-13.tgz |
| Old sources: | dynaTree archive |
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