Dynamic Trees for Learning and Design R package dynaTree version 1.2-17 CRAN Task View: ExperimentalDesign (https://CRAN.R-project.org/view=ExperimentalDesign) 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"). Software Depends: R (>= 2.14.0), methods Suggests: interp, tgp, plgp, MASS Robert B. Gramacy <rbg@vt.edu> Comprehensive R Archive Network (CRAN) Robert B. Gramacy [aut, cre], Matt A. Taddy [aut], Christoforos Anagnostopoulos [aut] LGPL 2024-08-22 application/tgz https://CRAN.R-project.org/package=dynaTree doi:10.32614/CRAN.package.dynaTree