Package: stochtree
Title: Stochastic Tree Ensembles (XBART and BART) for Supervised
        Learning and Causal Inference
Version: 0.1.1
Authors@R: 
  c(
    person("Drew", "Herren", email = "drewherrenopensource@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-4109-6611")), 
    person("Richard", "Hahn", role = "aut"),
    person("Jared", "Murray", role = "aut"),
    person("Carlos", "Carvalho", role = "aut"),
    person("Jingyu", "He", role = "aut"),
    person("Pedro", "Lima", role = "ctb"),
    person("stochtree", "contributors", role = c("cph")),
    person("Eigen", "contributors", role = c("cph"), comment = "C++ source uses the Eigen library for matrix operations, see inst/COPYRIGHTS"),
    person("xgboost", "contributors", role = c("cph"), comment = "C++ tree code and related operations include or are inspired by code from the xgboost library, see inst/COPYRIGHTS"),
    person("treelite", "contributors", role = c("cph"), comment = "C++ tree code and related operations include or are inspired by code from the treelite library, see inst/COPYRIGHTS"),
    person("Microsoft", "Corporation", role = c("cph"), comment = "C++ I/O and various project structure code include or are inspired by code from the LightGBM library, which is a copyright of Microsoft, see inst/COPYRIGHTS"),
    person("Niels", "Lohmann", role = c("cph"), comment = "C++ source uses the JSON for Modern C++ library for JSON operations, see inst/COPYRIGHTS"),
    person("Daniel", "Lemire", role = c("cph"), comment = "C++ source uses the fast_double_parser library internally, see inst/COPYRIGHTS"),
    person("Victor", "Zverovich", role = c("cph"), comment = "C++ source uses the fmt library internally, see inst/COPYRIGHTS")
  )
Copyright: Copyright details for stochtree's C++ dependencies, which
        are vendored along with the core stochtree source code, are
        detailed in inst/COPYRIGHTS
Description: Flexible stochastic tree ensemble software. 
    Robust implementations of Bayesian Additive Regression Trees (BART) 
    Chipman, George, McCulloch (2010) <doi:10.1214/09-AOAS285> 
    for supervised learning and Bayesian Causal Forests (BCF) 
    Hahn, Murray, Carvalho (2020) <doi:10.1214/19-BA1195> 
    for causal inference. Enables model serialization and parallel sampling 
    and provides a low-level interface for custom stochastic forest samplers.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.2
LinkingTo: cpp11, BH
Suggests: testthat (>= 3.0.0),
SystemRequirements: C++17
Imports: R6, stats
URL: https://stochtree.ai/, https://github.com/StochasticTree/stochtree
BugReports: https://github.com/StochasticTree/stochtree/issues
Config/testthat/edition: 3
NeedsCompilation: yes
Packaged: 2025-02-08 07:14:14 UTC; drew
Author: Drew Herren [aut, cre] (<https://orcid.org/0000-0003-4109-6611>),
  Richard Hahn [aut],
  Jared Murray [aut],
  Carlos Carvalho [aut],
  Jingyu He [aut],
  Pedro Lima [ctb],
  stochtree contributors [cph],
  Eigen contributors [cph] (C++ source uses the Eigen library for matrix
    operations, see inst/COPYRIGHTS),
  xgboost contributors [cph] (C++ tree code and related operations
    include or are inspired by code from the xgboost library, see
    inst/COPYRIGHTS),
  treelite contributors [cph] (C++ tree code and related operations
    include or are inspired by code from the treelite library, see
    inst/COPYRIGHTS),
  Microsoft Corporation [cph] (C++ I/O and various project structure code
    include or are inspired by code from the LightGBM library, which is
    a copyright of Microsoft, see inst/COPYRIGHTS),
  Niels Lohmann [cph] (C++ source uses the JSON for Modern C++ library
    for JSON operations, see inst/COPYRIGHTS),
  Daniel Lemire [cph] (C++ source uses the fast_double_parser library
    internally, see inst/COPYRIGHTS),
  Victor Zverovich [cph] (C++ source uses the fmt library internally, see
    inst/COPYRIGHTS)
Maintainer: Drew Herren <drewherrenopensource@gmail.com>
Repository: CRAN
Date/Publication: 2025-02-08 16:20:02 UTC
Built: R 4.4.3; x86_64-w64-mingw32; 2025-11-01 02:38:34 UTC; windows
Archs: x64
