dynaTree: Dynamic Trees for Learning and Design

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: 1.2-16
Depends: R (≥ 2.14.0), methods
Suggests: interp, tgp, plgp, MASS
Published: 2023-08-23
DOI: 10.32614/CRAN.package.dynaTree
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_1.2-16.tar.gz
Windows binaries: r-devel: dynaTree_1.2-16.zip, r-release: dynaTree_1.2-16.zip, r-oldrel: dynaTree_1.2-16.zip
macOS binaries: r-release (arm64): dynaTree_1.2-16.tgz, r-oldrel (arm64): dynaTree_1.2-16.tgz, r-release (x86_64): dynaTree_1.2-16.tgz, r-oldrel (x86_64): dynaTree_1.2-16.tgz
Old sources: dynaTree archive


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