Man pages for stochtree
Stochastic Tree Ensembles (XBART and BART) for Supervised Learning and Causal Inference

bartRun BART for Supervised Learning
BARTSerializationBART Serialization Routines
bcfRun BCF for Causal Effect Estimation
BCFSerializationBCF Serialization Routines
calibrateInverseGammaErrorVarianceCalibrate Inverse Gamma Prior
computeBARTPosteriorIntervalCompute BART Posterior Credible Intervals
computeBCFPosteriorIntervalCompute BCF Posterior Credible Intervals
computeContrastBARTModelCompute Contrast for BART Model
computeContrastBCFModelCompute Contrast for BCF Model
CppJsonJSON C++ Object Wrapper
CppRNGRandom Number Generator C++ Wrapper
createCppRNGCreate CppRNG Object
createForestCreate Forest Object
createForestDatasetCreate ForestDataset Object
createForestModelCreate ForestModel Object
createForestModelConfigCreate ForestModelConfig Object
createForestSamplesCreate ForestSamples Object
createGlobalModelConfigCreate GlobalModelConfig Object
createOutcomeCreate Outcome Object
createRandomEffectSamplesCreate RandomEffectSamples Object
createRandomEffectsDatasetCreate RandomEffectsDataset Object
createRandomEffectsModelCreate RandomEffectsModel Object
createRandomEffectsTrackerCreate RandomEffectsTracker Object
DataPreprocessingData Preprocessing Routines
extractParameterExtract Parameter Samples Generic Function
extractParameter.bartmodelExtract BART Parameter Samples
extractParameter.bcfmodelExtract BCF Parameter Samples
ForestForest C++ Wrapper
ForestDatasetForest Dataset C++ Wrapper
ForestKernelComputationForest Kernel Computation Routines
ForestModelForest Model C++ Wrapper
ForestModelConfigForest Model Configuration Object
ForestSamplesForest Container C++ Wrapper
ForestSamplesSerializationForest Container Serialization Routines
ForestStateManagementForest State Management Routines
getRandomEffectSamplesExtract Random Effect Samples Generic Function
getRandomEffectSamples.bartmodelExtract Random Effects Samples from BART Model
getRandomEffectSamples.bcfmodelExtract Random Effect Samples from BCF Model
GlobalModelConfigGlobal Model Configuration Object
JSONCreationJSON Creation Routines
loadScalarJsonLoad Scalar from JSON
loadVectorJsonLoad Vector from JSON
OutcomeOutcome Data C++ Wrapper
OutcomeModelCreate a New Outcome Model Object
plot.bartmodelPlot BART Model Fit
plot.bcfmodelPlot BCF Model
predict.bartmodelPredict from a BART Model
predict.bcfmodelPredict from BCF Model
print.bartmodelPrint Summary of BART Model
print.bcfmodelPrint Summary of BCF Model
print.ForestSamplesSummarize a ForestSamples Object
print.RandomEffectSamplesSummarize a RandomEffectSamples Object
RandomEffectSamplesRandom Effect Container C++ Wrapper
RandomEffectSamplesSerializationRandom Effects Container Serialization Routines
RandomEffectsDatasetRandom Effects Dataset C++ Wrapper
RandomEffectsModelRandom Effects Model C++ Wrapper
RandomEffectStateManagementRandom Effects State Management Routines
RandomEffectsTrackerRandom Effects Tracker C++ Wrapper
sampleBARTPosteriorPredictiveSample BART Posterior Predictive
sampleBCFPosteriorPredictiveSample BCF Posterior Predictive
sampleGlobalErrorVarianceOneIterationSample Global Error Variance
sampleLeafVarianceOneIterationSample Leaf Scale
sample_without_replacementSample Without Replacement
stochtree-packagestochtree: Stochastic Tree Ensembles (XBART and BART) for...
summary.bartmodelSummarize BART Model Fit and Parameters
summary.bcfmodelSummarize BCF Model
stochtree documentation built on April 29, 2026, 1:08 a.m.