DESCRIPTION

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
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.2
LinkingTo: 
    cpp11, BH
Suggests: 
    testthat (>= 3.0.0), 
    doParallel, 
    foreach, 
    ggplot2,
    knitr,
    latex2exp,
    Matrix,
    MASS,
    mvtnorm,
    rmarkdown,
    tgp
VignetteBuilder: knitr
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