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").
|Author||Robert B. Gramacy <[email protected]>, Matt A. Taddy <[email protected]> and Christoforos Anagnostopoulos <[email protected]>|
|Date of publication||2017-03-15 14:54:54|
|Maintainer||Robert B. Gramacy <[email protected]>|
|Package repository||View on CRAN|
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