{
  "_id": "6ae24eb0327abcdf868655ea",
  "Package": "bartisan",
  "Type": "Package",
  "Title": "Generalized Bayesian Additive Regression Trees",
  "Version": "0.1.0",
  "Authors@R": "c(\nperson(\"Noah\", \"Greifer\", role = c(\"aut\", \"cre\", \"cph\"),\nemail = \"noah.greifer@gmail.com\",\ncomment = c(ORCID = \"0000-0003-3067-7154\")),\nperson(\"Antonio R.\", \"Linero\", role = c(\"ctb\", \"cph\"),\ncomment = \"Author of FlexBart, the reference implementation of Linero (2025), from which the MCMC engine is adapted\")\n)",
  "Description": "Fits Bayesian additive regression trees (BART) models for\nlikelihoods outside the conditionally conjugate Gaussian case,\nusing the Laplace-approximation reversible-jump sampler of\nLinero (2025) <doi:10.1080/01621459.2024.2337156>. Supported\nresponse families include Gaussian, binomial, Poisson, negative\nbinomial, gamma, beta, ordered beta, ordinal (cumulative link),\nmultinomial, zero-inflated counts, a Tweedie compound Poisson\nfor a non-negative response with a point mass at zero,\naccelerated failure time and proportional hazards models for\nright-censored survival data, location-scale regression, and a\nDirichlet process mixture for the error distribution. Decision\nrules may be hard, as in standard BART, or soft, as in the\nSoftBart model of Linero and Yang (2018)\n<doi:10.1111/rssb.12293>, which yields smoother fits. The\ninterface follows that of glm(), so that a model is specified\nwith a formula, a data frame, and a family.",
  "License": "GPL-2",
  "Encoding": "UTF-8",
  "VignetteBuilder": "knitr, rmarkdown",
  "URL": "https://github.com/ngreifer/bartisan,\nhttps://ngreifer.github.io/bartisan/",
  "BugReports": "https://github.com/ngreifer/bartisan/issues",
  "Config/testthat/edition": "3",
  "Config/roxygen2/version": "8.1.0",
  "LazyData": "true",
  "NeedsCompilation": "yes",
  "Packaged": {
    "Date": "2026-10-28 19:26:24 UTC",
    "User": "root"
  },
  "Author": "Noah Greifer [aut, cre, cph] (ORCID:\n<https://orcid.org/0000-0003-3067-7154>), Antonio R. Linero\n[ctb, cph] (Author of FlexBart, the reference implementation of\nLinero (2025), from which the MCMC engine is adapted)",
  "Maintainer": "Noah Greifer <noah.greifer@gmail.com>",
  "Repository": "https://cran.r-universe.dev",
  "Date/Publication": "2026-10-28 11:40:07 UTC",
  "RemoteUrl": "https://github.com/cran/bartisan",
  "RemoteRef": "HEAD",
  "RemoteSha": "c8e7b6d230744473bff7dd9488f0f3bfb44e1f3c",
  "_user": "cran",
  "_type": "src",
  "_file": "bartisan_0.1.0.tar.gz",
  "_fileid": "https://r2.ropensci.org/24769761dc5e6cafda61f7f4b569c787e82efb60f9bca03db842e40b52b0e0b9",
  "_filesize": 3597632,
  "_sha256": "24769761dc5e6cafda61f7f4b569c787e82efb60f9bca03db842e40b52b0e0b9",
  "_expires": "2027-02-05T19:36:14.000Z",
  "_created": "2026-10-28T19:26:24.000Z",
  "_published": "2026-10-28T19:36:16.943Z",
  "_upstream": "https://github.com/cran/bartisan",
  "_status": "success",
  "_maintainer": {
    "name": "Noah Greifer",
    "email": "noah.greifer@gmail.com",
    "login": "ngreifer",
    "twitter": "@noah_greifer",
    "description": "Data Science Specialist at Harvard University Institute for Quantitative Social Science (IQSS)",
    "uuid": 20465600,
    "orcid": "0000-0003-3067-7154"
  },
  "_jobs": [
    {
      "job": 123049899052,
      "time": 282,
      "config": "linux-devel-arm64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "12845572521"
    },
    {
      "job": 123049898943,
      "time": 345,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "12846021680"
    },
    {
      "job": 123049899054,
      "time": 275,
      "config": "linux-release-arm64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "12844918939"
    },
    {
      "job": 123049898872,
      "time": 343,
      "config": "linux-release-x86_64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "12846125403"
    },
    {
      "job": 123046421243,
      "time": 390,
      "config": "source",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "12844653546"
    },
    {
      "job": 123049898944,
      "time": 167,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "12843994300"
    },
    {
      "job": 123049899079,
      "time": 469,
      "config": "windows-devel-arm64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "12844329263"
    },
    {
      "job": 123049898825,
      "time": 456,
      "config": "windows-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "12845254705"
    },
    {
      "job": 123049898959,
      "time": 405,
      "config": "windows-release-arm64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "12844004828"
    },
    {
      "job": 123049898770,
      "time": 282,
      "config": "windows-release-x86_64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "12846135254"
    }
  ],
  "_buildurl": "https://github.com/r-universe/cran/actions/runs/40753521963",
  "_commit": {
    "id": "c8e7b6d230744473bff7dd9488f0f3bfb44e1f3c",
    "author": "Noah Greifer <noah.greifer@gmail.com>",
    "committer": "cran-robot <csardi.gabor+cran@gmail.com>",
    "message": "version 0.1.0\n",
    "time": 1793187607
  },
  "_distro": "resolute",
  "_host": "GitHub-Actions",
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 4.1.0",
      "role": "Depends"
    },
    {
      "package": "Rcpp",
      "role": "LinkingTo"
    },
    {
      "package": "RcppArmadillo",
      "role": "LinkingTo"
    },
    {
      "package": "arg",
      "version": ">= 0.2.1",
      "role": "Imports"
    },
    {
      "package": "cli",
      "version": ">= 3.6.4",
      "role": "Imports"
    },
    {
      "package": "rlang",
      "version": ">= 1.2.0",
      "role": "Imports"
    },
    {
      "package": "Matrix",
      "role": "Imports"
    },
    {
      "package": "Rcpp",
      "version": ">= 1.1.2",
      "role": "Imports"
    },
    {
      "package": "parallel",
      "role": "Imports"
    },
    {
      "package": "reformulas",
      "version": ">= 0.4.4",
      "role": "Imports"
    },
    {
      "package": "ggplot2",
      "version": ">= 4.0.1",
      "role": "Imports"
    },
    {
      "package": "stats",
      "role": "Imports"
    },
    {
      "package": "utils",
      "role": "Imports"
    },
    {
      "package": "bayesplot",
      "role": "Suggests"
    },
    {
      "package": "cobalt",
      "role": "Suggests"
    },
    {
      "package": "collapse",
      "role": "Suggests"
    },
    {
      "package": "future",
      "role": "Suggests"
    },
    {
      "package": "future.apply",
      "role": "Suggests"
    },
    {
      "package": "insight",
      "role": "Suggests"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "loo",
      "role": "Suggests"
    },
    {
      "package": "MASS",
      "role": "Suggests"
    },
    {
      "package": "marginaleffects",
      "role": "Suggests"
    },
    {
      "package": "nlme",
      "role": "Suggests"
    },
    {
      "package": "lme4",
      "role": "Suggests"
    },
    {
      "package": "patrick",
      "version": ">= 0.3.0",
      "role": "Suggests"
    },
    {
      "package": "performance",
      "role": "Suggests"
    },
    {
      "package": "posterior",
      "role": "Suggests"
    },
    {
      "package": "progressr",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    },
    {
      "package": "rstanarm",
      "role": "Suggests"
    },
    {
      "package": "rstantools",
      "role": "Suggests"
    },
    {
      "package": "survival",
      "role": "Suggests"
    },
    {
      "package": "testthat",
      "version": ">= 3.0.0",
      "role": "Suggests"
    },
    {
      "package": "WeightIt",
      "role": "Suggests"
    }
  ],
  "_owner": "cran",
  "_selfowned": false,
  "_usedby": 0,
  "_updates": [
    {
      "week": "2026-44",
      "n": 1
    }
  ],
  "_tags": [
    {
      "name": "0.1.0",
      "date": "2026-10-28"
    }
  ],
  "_stars": 0,
  "_contributors": [
    {
      "user": "ngreifer",
      "count": 1,
      "uuid": 20465600
    }
  ],
  "_userbio": {
    "uuid": 6899542,
    "type": "organization",
    "name": "cran",
    "followers": 634,
    "description": "Unofficial read-only mirror of all CRAN R packages"
  },
  "_downloads": {
    "count": 0,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/bartisan"
  },
  "_devurl": "https://github.com/ngreifer/bartisan",
  "_pkgdown": "https://ngreifer.github.io/bartisan/",
  "_topics": [
    "openblas",
    "cpp"
  ],
  "_rbuild": "4.6.1",
  "_assets": [
    "extra/bartisan.html",
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/manual.pdf",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md"
  ],
  "_cranurl": false,
  "_releases": [
    {
      "version": "0.1.0",
      "date": "2026-10-28"
    }
  ],
  "_exports": [
    "bartisan",
    "bartisan_control",
    "bcf",
    "Beta",
    "custom_family",
    "diagnose",
    "dpm",
    "dpm_aft",
    "error_density",
    "estimate_effect",
    "Gamma_ls",
    "gaussian_ls",
    "loglogistic_aft",
    "lognormal_aft",
    "multinomial",
    "negbin",
    "ordbeta",
    "ordinal",
    "partial_dependence",
    "ph",
    "tweedie",
    "variable_importance",
    "vc",
    "weibull_aft",
    "zi_negbin",
    "zi_poisson"
  ],
  "_datasets": [
    {
      "name": "rhc",
      "title": "Right heart catheterization in critically ill patients",
      "object": "rhc",
      "class": [
        "data.frame"
      ],
      "fields": [
        "rhc",
        "death",
        "days",
        "age",
        "sex",
        "race",
        "edu",
        "aps",
        "meanbp",
        "resp",
        "hema",
        "pafi",
        "paco2",
        "crea",
        "surv2m",
        "card"
      ],
      "rows": 1500,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "bartisan-package",
      "title": "bartisan: Generalized Bayesian Additive Regression Trees",
      "topics": [
        "bartisan-package"
      ]
    },
    {
      "page": "bartisan",
      "title": "Fit a generalized Bayesian additive regression trees (BART) model",
      "topics": [
        "bartisan"
      ]
    },
    {
      "page": "bartisan_control",
      "title": "Sampler and prior settings for 'bartisan()'",
      "topics": [
        "bartisan_control"
      ]
    },
    {
      "page": "bartisan-families",
      "title": "Response families for generalized BART",
      "topics": [
        "bartisan-families",
        "Beta",
        "dpm",
        "dpm_aft",
        "Gamma_ls",
        "gaussian_ls",
        "loglogistic_aft",
        "lognormal_aft",
        "multinomial",
        "negbin",
        "ordbeta",
        "ordinal",
        "ph",
        "tweedie",
        "weibull_aft",
        "zi_negbin",
        "zi_poisson"
      ]
    },
    {
      "page": "bartisan-interop",
      "title": "Interfaces to other packages",
      "topics": [
        "as_draws.bartisan_fit",
        "bartisan-interop",
        "fitted.bartisan_fit",
        "kfold.bartisan_fit",
        "log_lik.bartisan_fit",
        "loo.bartisan_fit",
        "model_performance.bartisan_fit",
        "posterior_epred.bartisan_fit",
        "posterior_linpred.bartisan_fit",
        "posterior_predict.bartisan_fit",
        "pp_check.bartisan_fit",
        "print.bartisan_prior_summary",
        "prior_summary.bartisan_fit",
        "r2.bartisan_fit",
        "r2_posterior.bartisan_fit",
        "residuals.bartisan_fit",
        "sigma.bartisan_fit",
        "simulate.bartisan_fit",
        "waic.bartisan_fit",
        "weights.bartisan_fit"
      ]
    },
    {
      "page": "bartisan-marginaleffects",
      "title": "Counterfactual estimands with marginaleffects",
      "topics": [
        "bartisan-marginaleffects",
        "family.bartisan_fit",
        "formula.bartisan_fit",
        "get_coef.bartisan_fit",
        "get_data.bartisan_fit",
        "get_group_names.bartisan_fit",
        "get_predict.bartisan_fit",
        "get_vcov.bartisan_fit",
        "model.frame.bartisan_fit",
        "nobs.bartisan_fit",
        "set_coef.bartisan_fit",
        "terms.bartisan_fit"
      ]
    },
    {
      "page": "bcf",
      "title": "Bayesian causal forests",
      "topics": [
        "bcf"
      ]
    },
    {
      "page": "coef.bartisan_fit",
      "title": "Varying coefficients",
      "topics": [
        "coef.bartisan_fit"
      ]
    },
    {
      "page": "custom_family",
      "title": "Fit a model to a likelihood written in R",
      "topics": [
        "custom_family"
      ]
    },
    {
      "page": "diagnose",
      "title": "Check whether a fit converged and mixed",
      "topics": [
        "diagnose",
        "diagnose.bartisan_effect",
        "diagnose.bartisan_fit",
        "diagnose.default"
      ]
    },
    {
      "page": "error_density",
      "title": "Error distribution of a Dirichlet process mixture fit",
      "topics": [
        "error_density",
        "plot.bartisan_error_density"
      ]
    },
    {
      "page": "estimate_effect",
      "title": "Causal effects from a fitted model",
      "topics": [
        "estimate_effect",
        "plot.bartisan_effect",
        "print.bartisan_effect"
      ]
    },
    {
      "page": "partial_dependence",
      "title": "Partial dependence on one or two predictors",
      "topics": [
        "partial_dependence",
        "plot.bartisan_fit",
        "plot.bartisan_partial",
        "print.bartisan_partial"
      ]
    },
    {
      "page": "predict.bartisan_fit",
      "title": "Predictions from a generalized BART model",
      "topics": [
        "predict.bartisan_fit"
      ]
    },
    {
      "page": "print.bartisan_fit",
      "title": "Summarize a generalized BART model",
      "topics": [
        "print.bartisan_fit",
        "print.summary.bartisan_fit",
        "summary.bartisan_fit"
      ]
    },
    {
      "page": "print.bcf_fit",
      "title": "Methods for Bayesian causal forest fits",
      "topics": [
        "plot.bcf_fit",
        "print.bcf_fit"
      ]
    },
    {
      "page": "ranef.bartisan_fit",
      "title": "Group intercepts from a random-effect term",
      "topics": [
        "ranef.bartisan_fit"
      ]
    },
    {
      "page": "rhc",
      "title": "Right heart catheterization in critically ill patients",
      "topics": [
        "rhc"
      ]
    },
    {
      "page": "variable_importance",
      "title": "How often each predictor is used",
      "topics": [
        "plot.bartisan_importance",
        "variable_importance"
      ]
    },
    {
      "page": "vc",
      "title": "Give a predictor a varying coefficient",
      "topics": [
        "vc"
      ]
    }
  ],
  "_readme": "https://github.com/cran/bartisan/raw/HEAD/README.md",
  "_rundeps": [
    "arg",
    "cli",
    "cpp11",
    "farver",
    "ggplot2",
    "glue",
    "gtable",
    "isoband",
    "labeling",
    "lattice",
    "lifecycle",
    "Matrix",
    "R6",
    "rbibutils",
    "RColorBrewer",
    "Rcpp",
    "RcppArmadillo",
    "Rdpack",
    "reformulas",
    "rlang",
    "S7",
    "scales",
    "vctrs",
    "viridisLite",
    "withr"
  ],
  "_sysdeps": [
    {
      "shlib": "liblapack",
      "package": "libopenblas0-pthread",
      "source": "openblas",
      "version": "0.3.32+ds-5",
      "name": "openblas",
      "homepage": "https://www.openblas.net/",
      "description": "Optimized BLAS (linear algebra) library (shared lib, pthread)"
    },
    {
      "shlib": "libblas",
      "package": "libopenblas0-pthread",
      "source": "openblas",
      "version": "0.3.32+ds-5",
      "name": "openblas",
      "homepage": "https://www.openblas.net/",
      "description": "Optimized BLAS (linear algebra) library (shared lib, pthread)"
    },
    {
      "shlib": "libstdc++",
      "package": "libstdc++6",
      "source": "gcc",
      "version": "16-20260322-1ubuntu1",
      "name": "c++",
      "homepage": "http://gcc.gnu.org/",
      "description": "GNU Standard C++ Library v3"
    }
  ],
  "_vignettes": [
    {
      "source": "causal.Rmd",
      "filename": "causal.html",
      "title": "Causal Inference with BART",
      "author": "Noah Greifer",
      "engine": "knitr::rmarkdown_notangle",
      "headings": [
        "Introduction",
        "Confounding",
        "Assumptions for Causal Inference",
        "Checking Positivity",
        "The Estimator: G-Computation",
        "Conditional, Sample, and Population Averages",
        "The Outcome Model",
        "Potential Outcomes",
        "Computation and Scale of the Estimate",
        "The Same Answer Through marginaleffects",
        "Using Bayesian Causal Forests",
        "Conditional Effects",
        "A Second Example: A Continuous Outcome, and the ATT",
        "Interpreting the Credible Interval",
        "Further Reading",
        "References"
      ],
      "created": "2026-10-28 11:40:07",
      "modified": "2026-10-28 11:40:07",
      "commits": 1
    },
    {
      "source": "diagnostics.Rmd",
      "filename": "diagnostics.html",
      "title": "Checking Convergence and Fit",
      "author": "Noah Greifer",
      "engine": "knitr::rmarkdown_notangle",
      "headings": [
        "Introduction",
        "Convergence",
        "Every Statistic in One Call (diagnose())",
        "Running More Than One Chain (chains)",
        "The Rows of the Table",
        "The Exception for eta",
        "Looking at the Chains (as_draws())",
        "Diagnosing the Quantity Being Reported",
        "Diagnosing Anything Else (summarise_draws())",
        "Remedies for Poor Mixing",
        "A Worked Example: More Draws, Same Model",
        "Fit",
        "Reading the Prior Back (prior_summary())",
        "Before the Data: The Prior Predictive (prior_only)",
        "Posterior Predictive Checks (pp_check())",
        "Checks Worth Reaching For",
        "Calibration",
        "Residuals",
        "The Bayesian R-Squared (r2())",
        "A Checklist",
        "Further Reading",
        "References"
      ],
      "created": "2026-10-28 11:40:07",
      "modified": "2026-10-28 11:40:07",
      "commits": 1
    },
    {
      "source": "effects.Rmd",
      "filename": "effects.html",
      "title": "Effects, Curves, and Interactions",
      "author": "Noah Greifer",
      "engine": "knitr::rmarkdown_notangle",
      "headings": [
        "Introduction",
        "Predictions, Comparisons, and Slopes",
        "Average Effects (avg_comparisons())",
        "The Splitting Prior and a Contrast (sparsity)",
        "Choosing the Step (variables)",
        "Effects for Subgroups (by)",
        "The Shape of a Relationship (partial_dependence())",
        "Values of the Second Predictor",
        "The Same Curve Through marginaleffects",
        "Slopes and the Predictor Transform (avg_slopes())",
        "Descriptions of the Fitted Model",
        "Further Reading",
        "References"
      ],
      "created": "2026-10-28 11:40:07",
      "modified": "2026-10-28 11:40:07",
      "commits": 1
    },
    {
      "source": "faq.Rmd",
      "filename": "faq.html",
      "title": "Frequently Asked Questions",
      "author": "Noah Greifer",
      "engine": "knitr::rmarkdown_notangle",
      "headings": [
        "What is BART?",
        "How/When should I use BART?",
        "How can a machine learning method be Bayesian?",
        "How can a Bayesian method be machine learning?",
        "How can BART be used for inference?",
        "How do I get estimates out of the model?",
        "What if I have missing data?",
        "Can I supply my own likelihood?",
        "Why is my model slow, and what should I change first?",
        "What if I'm a frequentist?",
        "Is BART good?",
        "How can BART be used for causal inference?",
        "What are Bayesian Causal Forests?",
        "How do I get a treatment effect?",
        "What papers should I read to better understand BART?",
        "What does the name \"bartisan\" mean?",
        "How does bartisan differ from other BART implementations in R?",
        "What model family should I use?",
        "How should I select the values of the hyperparameters?",
        "How should I choose how many chains and burn-in and posterior draws?",
        "References"
      ],
      "created": "2026-10-28 11:40:07",
      "modified": "2026-10-28 11:40:07",
      "commits": 1
    },
    {
      "source": "implementation.Rmd",
      "filename": "implementation.html",
      "title": "Generalized BART with bartisan",
      "author": "Noah Greifer",
      "engine": "knitr::rmarkdown_notangle",
      "headings": [
        "Introduction",
        "The Model",
        "A Sum of Trees",
        "The Generalization",
        "The Prior",
        "Soft Rules (gate)",
        "The Predictor Transform (x_transform)",
        "Sparsity (sparsity)",
        "The Sampler",
        "Bayesian Backfitting",
        "Moving the Trees",
        "The General Case, and the Laplace Approximation",
        "Data Augmentation (augment)",
        "Nuisance Parameters",
        "The Dirichlet Process Mixture",
        "Practical Matters",
        "Missing Predictor Values",
        "Several Chains (chains)",
        "Choosing the Settings",
        "Speed",
        "Gains From Data Augmentation (augment)",
        "Correctness",
        "Comparison With Other BART Packages",
        "Notes and Limitations",
        "Further Reading",
        "References"
      ],
      "created": "2026-10-28 11:40:07",
      "modified": "2026-10-28 11:40:07",
      "commits": 1
    },
    {
      "source": "bartisan.Rmd",
      "filename": "bartisan.html",
      "title": "Getting Started with bartisan",
      "author": "Noah Greifer",
      "engine": "knitr::rmarkdown_notangle",
      "headings": [
        "Introduction",
        "Parallelization and Progress Bars",
        "The Data",
        "Fitting the Model",
        "Checking the Model",
        "Convergence",
        "Fit",
        "Variable Importance",
        "Interpreting the Fit",
        "A Table of Average Comparisons",
        "The Shape of a Relationship",
        "The Effect of a Treatment",
        "Predicting New Observations",
        "Comparing Models",
        "Limitations",
        "Further Reading",
        "References"
      ],
      "created": "2026-10-28 11:40:07",
      "modified": "2026-10-28 11:40:07",
      "commits": 1
    },
    {
      "source": "comparison.Rmd",
      "filename": "comparison.html",
      "title": "Model Comparison",
      "author": "Noah Greifer",
      "engine": "knitr::rmarkdown_notangle",
      "headings": [
        "Introduction",
        "Leave-One-Out Cross-Validation (loo())",
        "Failures of the Approximation",
        "Comparing Two Models (loo_compare())",
        "Comparing Links (family)",
        "Comparing Against a Bayesian GLM",
        "Tuning",
        "Additional Topics",
        "A Constant Coefficient Against a Varying One (vc())",
        "The Scale of the Log Density (scale)",
        "Variable Selection",
        "Further Reading",
        "References"
      ],
      "created": "2026-10-28 11:40:07",
      "modified": "2026-10-28 11:40:07",
      "commits": 1
    },
    {
      "source": "families.Rmd",
      "filename": "families.html",
      "title": "Response Families in bartisan",
      "author": "Noah Greifer",
      "engine": "knitr::rmarkdown_notangle",
      "headings": [
        "Introduction",
        "The Families",
        "Choosing a Family",
        "The Default Family (family Omitted)",
        "Numeric Responses",
        "Per-Forest Predictors and Settings",
        "Positive Continuous Responses",
        "Binary Responses",
        "Counts",
        "Excess Zeros",
        "Overdispersion in the Count Component",
        "Ordered Categories",
        "The Prior on the Cutpoints (cut_alpha)",
        "Empty Categories",
        "A Continuous Outcome as Ordinal",
        "Unordered Categories",
        "Bounded Responses",
        "A Point Mass at Zero and a Continuous Positive Part",
        "Right-Censored Survival Times",
        "Other Links and Custom Likelihoods",
        "References"
      ],
      "created": "2026-10-28 11:40:07",
      "modified": "2026-10-28 11:40:07",
      "commits": 1
    },
    {
      "source": "survival.Rmd",
      "filename": "survival.html",
      "title": "Survival Analysis in bartisan",
      "author": "Noah Greifer",
      "engine": "knitr::rmarkdown_notangle",
      "headings": [
        "Introduction",
        "The Survival Families",
        "Fitting a Model",
        "Choosing a Family",
        "The Error Distribution (error_density())",
        "Predicted and Observed Survival",
        "Leave-One-Out Cross-Validation (loo())",
        "Interpreting a Fit",
        "The Additive Predictor (type = \"link\")",
        "Survival Probabilities (type = \"survival\")",
        "Median Survival Times (type = \"response\")",
        "Hazards (type = \"hazard\")",
        "Averages and Contrasts",
        "Survival Curves",
        "Time Ratios and Hazard Ratios",
        "Additional Topics",
        "The Baseline Hazard Grid (num_bins)",
        "Covariate Effects That Change Over Time",
        "Treatment Effects (bcf())",
        "Further Reading",
        "References"
      ],
      "created": "2026-10-28 11:40:07",
      "modified": "2026-10-28 11:40:07",
      "commits": 1
    },
    {
      "source": "importance.Rmd",
      "filename": "importance.html",
      "title": "Variable Importance",
      "author": "Noah Greifer",
      "engine": "knitr::rmarkdown_notangle",
      "headings": [
        "Introduction",
        "Split Counts and Usage Proportions (variable_importance())",
        "Calibrating With Noise Predictors",
        "Separation With a Stronger Signal",
        "Correlated Predictors",
        "The Limits of a Usage Ranking",
        "The Number of Trees (num_trees)",
        "Further Reading",
        "References"
      ],
      "created": "2026-10-28 11:40:07",
      "modified": "2026-10-28 11:40:07",
      "commits": 1
    },
    {
      "source": "varying.Rmd",
      "filename": "varying.html",
      "title": "Varying Coefficients and Random Intercepts",
      "author": "Noah Greifer",
      "engine": "knitr::rmarkdown_notangle",
      "headings": [
        "Introduction",
        "The Model",
        "Declaring a Varying Coefficient (vc())",
        "Effect Modifiers (modifiers)",
        "Centering the Covariate (center)",
        "A Constant Coefficient (vc(z, ~ 1))",
        "Reading a Fit",
        "The Coefficients (coef())",
        "Effects From the Coefficients (estimate_effect())",
        "Settings That Vary by Forest",
        "Families With Several Additive Predictors",
        "Bayesian Causal Forests (bcf())",
        "Random Intercepts ((1 | group))",
        "Further Reading",
        "References"
      ],
      "created": "2026-10-28 11:40:07",
      "modified": "2026-10-28 11:40:07",
      "commits": 1
    }
  ],
  "_score": 3.7403626894942437,
  "_indexed": true,
  "_nocasepkg": "bartisan",
  "_universes": [
    "cran",
    "ngreifer"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "0.1.0",
      "date": "2026-10-28T19:30:13.000Z",
      "distro": "resolute",
      "arch": "aarch64",
      "commit": "c8e7b6d230744473bff7dd9488f0f3bfb44e1f3c",
      "fileid": "https://r2.ropensci.org/df65a80dd0015a7007def7acec306454ffab28fd82dea25c7366ed411ed09f4c",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/40753521963"
    },
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "0.1.0",
      "date": "2026-10-28T19:30:35.000Z",
      "distro": "resolute",
      "arch": "x86_64",
      "commit": "c8e7b6d230744473bff7dd9488f0f3bfb44e1f3c",
      "fileid": "https://r2.ropensci.org/b9cef3809679f21edca88417753aaaecdb9f27a8c69ccc491761be1dfb4b3162",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/40753521963"
    },
    {
      "r": "4.6.1",
      "os": "linux",
      "version": "0.1.0",
      "date": "2026-10-28T19:30:07.000Z",
      "distro": "resolute",
      "arch": "aarch64",
      "commit": "c8e7b6d230744473bff7dd9488f0f3bfb44e1f3c",
      "fileid": "https://r2.ropensci.org/f003d6a849cfd2d32c3ea1b48ead57ffd4f7b8d8a7b441aaf796fb26c285f88f",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/40753521963"
    },
    {
      "r": "4.6.1",
      "os": "linux",
      "version": "0.1.0",
      "date": "2026-10-28T19:30:36.000Z",
      "distro": "resolute",
      "arch": "x86_64",
      "commit": "c8e7b6d230744473bff7dd9488f0f3bfb44e1f3c",
      "fileid": "https://r2.ropensci.org/23c97bf8a8c880d65c1afb99fba35cee3b23d71eb40b4ca50fe435a2f6aa33ed",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/40753521963"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "0.1.0",
      "date": "2026-10-28T19:30:25.000Z",
      "arch": "emscripten",
      "commit": "c8e7b6d230744473bff7dd9488f0f3bfb44e1f3c",
      "fileid": "https://r2.ropensci.org/80f54d8c7e800568bbebea8609d3673e2143bfbb05d16bf5d83fc1a2fab64a39",
      "status": "success",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/40753521963"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "0.1.0",
      "date": "2026-10-28T19:32:19.000Z",
      "arch": "aarch64",
      "commit": "c8e7b6d230744473bff7dd9488f0f3bfb44e1f3c",
      "fileid": "https://r2.ropensci.org/c24a3d3db49d53ee40e8e2294d076366edd7384fb9187cfebf1725b0d5a98e7b",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/40753521963"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "0.1.0",
      "date": "2026-10-28T19:30:07.000Z",
      "arch": "x86_64",
      "commit": "c8e7b6d230744473bff7dd9488f0f3bfb44e1f3c",
      "fileid": "https://r2.ropensci.org/7eebfcacc72753a272de0ccb21409484ae4113b9c1917d9f2604721d256a6c1b",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/40753521963"
    },
    {
      "r": "4.6.1",
      "os": "win",
      "version": "0.1.0",
      "date": "2026-10-28T19:31:20.000Z",
      "arch": "aarch64",
      "commit": "c8e7b6d230744473bff7dd9488f0f3bfb44e1f3c",
      "fileid": "https://r2.ropensci.org/461ea72744449c49c539aefb6e998eec8ba6b13bcebcc3852652de34258c86c2",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/40753521963"
    },
    {
      "r": "4.6.1",
      "os": "win",
      "version": "0.1.0",
      "date": "2026-10-28T19:29:32.000Z",
      "arch": "x86_64",
      "commit": "c8e7b6d230744473bff7dd9488f0f3bfb44e1f3c",
      "fileid": "https://r2.ropensci.org/11211bea186fba6eaaccc840aff32d918aa3d3f6fa71aad93c2565409d80e1b4",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/cran/actions/runs/40753521963"
    }
  ]
}