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").
- Version1.2-17
- R version≥ 2.14.0 methods
- LicenseLGPL-2
- LicenseLGPL-2.1
- LicenseLGPL-3
- Needs compilation?Yes
- Last release08/22/2024
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Team
Robert B. Gramacy
Christoforos Anagnostopoulos
Show author detailsRolesAuthorMatt A. Taddy
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