{ "_id": "6ac8ecfdde46216d5edd938a", "Package": "stochtree", "Title": "Stochastic Tree Ensembles (XBART and BART) for Supervised\nLearning and Causal Inference", "Version": "0.4.6.9000", "Authors@R": "c(\nperson(\"Drew\", \"Herren\", email = \"drewherrenopensource@gmail.com\", role = c(\"aut\", \"cre\"), comment = c(ORCID = \"0000-0003-4109-6611\")),\nperson(\"Richard\", \"Hahn\", role = \"aut\"),\nperson(\"Jared\", \"Murray\", role = \"aut\"),\nperson(\"Carlos\", \"Carvalho\", role = \"aut\"),\nperson(\"Jingyu\", \"He\", role = \"aut\"),\nperson(\"Pedro\", \"Lima\", role = \"ctb\"),\nperson(\"Entejar\", \"Alam\", role = \"ctb\"),\nperson(\"David\", \"Wachsmuth\", role = \"ctb\"),\nperson(\"Michael\", \"Chirico\", role = \"ctb\"),\nperson(\"stochtree\", \"contributors\", role = c(\"cph\")),\nperson(\"Eigen\", \"contributors\", role = c(\"cph\"), comment = \"C++ source uses the Eigen library for matrix operations, see inst/COPYRIGHTS\"),\nperson(\"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\"),\nperson(\"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\"),\nperson(\"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\"),\nperson(\"Niels\", \"Lohmann\", role = c(\"cph\"), comment = \"C++ source uses the JSON for Modern C++ library for JSON operations, see inst/COPYRIGHTS\"),\nperson(\"Daniel\", \"Lemire\", role = c(\"cph\"), comment = \"C++ source uses the fast_double_parser library internally, see inst/COPYRIGHTS\"),\nperson(\"Victor\", \"Zverovich\", role = c(\"cph\"), comment = \"C++ source uses the fmt library internally, see inst/COPYRIGHTS\")\n)", "Copyright": "Copyright details for stochtree's C++ dependencies, which\nare vendored along with the core stochtree source code, are\ndetailed in inst/COPYRIGHTS", "Description": "Flexible stochastic tree ensemble software. Robust\nimplementations of Bayesian Additive Regression Trees (BART)\n(Chipman, George, McCulloch (2010) )\nfor supervised learning and Bayesian Causal Forests (BCF)\n(Hahn, Murray, Carvalho (2020) ) for\ncausal inference. Enables model serialization and parallel\nsampling and provides a low-level interface for custom\nstochastic forest samplers. Includes the grow-from-root\nalgorithm for accelerated forest sampling (He and Hahn (2021)\n), a log-linear leaf model\nfor forest-based heteroskedasticity (Murray (2020)\n), and the cloglog BART\nmodel of Alam and Linero (2025) \nfor ordinal outcomes.", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.3", "VignetteBuilder": "knitr", "SystemRequirements": "C++17", "URL": "https://stochtree.ai/, https://github.com/StochasticTree/stochtree", "BugReports": "https://github.com/StochasticTree/stochtree/issues", "Config/testthat/edition": "3", "Repository": "https://stochastictree.r-universe.dev", "Date/Publication": "2026-10-05 13:12:11 UTC", "RemoteUrl": "https://github.com/stochastictree/stochtree", "RemoteRef": "HEAD", "RemoteSha": "737f397cc69876d89bc93e0b04f09c41341adffe", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-10-09 13:16:48 UTC", "User": "root" }, "Author": "Drew Herren [aut, cre] (ORCID: ),\nRichard Hahn 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