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);
- Version1.2-17
- R version≥ 2.14.0 methods
- LicenseLGPL-2
- LicenseLGPL-2.1
- LicenseLGPL-3
- Needs compilation?Yes
- Last release08/22/2024
Documentation
Team
Robert B. Gramacy
Matt A. Taddy
Show author detailsRolesAuthorChristoforos Anagnostopoulos
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- Depends1 package
- Suggests4 packages