# Stochastic Tree Ensembles (XBART and BART) for Supervised Learning and Causal Inference

## Documentation for package ‘stochtree’ version 0.3.1

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

stochtree-package | stochtree: Stochastic Tree Ensembles (XBART and BART) for Supervised Learning and Causal Inference
bart | Run BART for Supervised Learning
bcf | Run BCF for Causal Effect Estimation
calibrateInverseGammaErrorVariance | Calibrate Inverse Gamma Prior
computeForestLeafIndices | Query Forest Leaf Indices
computeForestLeafVariances | Query Forest Leaf Scale Parameters
computeForestMaxLeafIndex | Query Forest Max Leaf Index
compute_bart_posterior_interval | Compute BART Posterior Credible Intervals
compute_bcf_posterior_interval | Compute BCF Posterior Credible Intervals
compute_contrast_bart_model | Compute Contrast for BART Model
compute_contrast_bcf_model | Compute Contrast for BCF Model
convertPreprocessorToJson | Convert Covariate Preprocessor to CppJson
CppJson | JSON C++ Object Wrapper
CppRNG | Random Number Generator C++ Wrapper
createBARTModelFromCombinedJson | Convert JSON List to Single BART Model
createBARTModelFromCombinedJsonString | Convert JSON String List to Single BART Model
createBARTModelFromJson | Convert JSON to BART Model
createBARTModelFromJsonFile | Convert JSON File to BART Model
createBARTModelFromJsonString | Convert JSON String to BART Model
createBCFModelFromCombinedJson | Convert JSON List to BCF Model
createBCFModelFromCombinedJsonString | Convert JSON String List to BCF Model
createBCFModelFromJson | Convert JSON to BCF Model
createBCFModelFromJsonFile | Convert JSON File to BCF Model
createBCFModelFromJsonString | Convert JSON String to BCF Model
createCppJson | Create CppJson Object
createCppJsonFile | Create CppJson Object from File
createCppJsonString | Create CppJson Object from String
createCppRNG | Create CppRNG Object
createForest | Create Forest Object
createForestDataset | Create ForestDataset Object
createForestModel | Create ForestModel Object
createForestModelConfig | Create ForestModelConfig Object
createForestSamples | Create ForestSamples Object
createGlobalModelConfig | Create GlobalModelConfig Object
createOutcome | Create Outcome Object
createPreprocessorFromJson | Reload Covariate Preprocessor from JSON String
createPreprocessorFromJsonString | Reload Covariate Preprocessor from JSON String
createRandomEffectSamples | Create RandomEffectSamples Object
createRandomEffectsDataset | Create RandomEffectsDataset Object
createRandomEffectsModel | Create RandomEffectsModel Object
createRandomEffectsTracker | Create RandomEffectsTracker Object
extract_parameter | Extract Parameter Samples Generic Function
extract_parameter.bartmodel | Extract BART Parameter Samples.
extract_parameter.bcfmodel | Extract BCF Parameter Samples
Forest | Forest C++ Wrapper
ForestDataset | Forest Dataset C++ Wrapper
ForestModel | Forest Model C++ Wrapper
ForestModelConfig | Forest Model Configuration Object
ForestSamples | Forest Container C++ Wrapper
getRandomEffectSamples | Extract Random Effect Samples Generic Function
getRandomEffectSamples.bartmodel | Extract Random Effects Samples
getRandomEffectSamples.bcfmodel | Extract Random Effect Samples from BCF Model
GlobalModelConfig | Global Model Configuration Object
loadForestContainerCombinedJson | Combine JSON Model Objects into ForestSamples
loadForestContainerCombinedJsonString | Combine JSON Strings into ForestSamples
loadForestContainerJson | Load Forest Samples from JSON
loadRandomEffectSamplesCombinedJson | Combine JSON Model Objects into RandomEffectSamples
loadRandomEffectSamplesCombinedJsonString | Combine JSON Strings into RandomEffectSamples
loadRandomEffectSamplesJson | Load Random Effect Samples from JSON
loadScalarJson | Load Scalar from JSON
loadVectorJson | Load Vector from JSON
Outcome | Outcome Data C++ Wrapper
plot.bartmodel | Plot BART Model Fit.
plot.bcfmodel | Plot BCF Model
predict.bartmodel | Predict From a BART Model
predict.bcfmodel | Predict From BCF Model
preprocessPredictionData | Preprocess Covariates for Model Prediction
preprocessTrainData | Preprocess Covariates for Model Training
print.bartmodel | Summarize a BART Model
print.bcfmodel | Print Summary of BCF Model
RandomEffectSamples | Random Effect Container C++ Wrapper
RandomEffectsDataset | Random Effects Dataset C++ Wrapper
RandomEffectsModel | Random Effects Model C++ Wrapper
RandomEffectsTracker | Random Effects Tracker C++ Wrapper
resetActiveForest | Reset Active Forest
resetForestModel | Reset Forest Model
resetRandomEffectsModel | Reset RandomEffectsModel Object
resetRandomEffectsTracker | Reset RandomEffectsTracker Object
rootResetRandomEffectsModel | Reset RandomEffectsModel Object to Default State
rootResetRandomEffectsTracker | Reset RandomEffectsTracker Object to Default State
sampleGlobalErrorVarianceOneIteration | Sample Global Error Variance
sampleLeafVarianceOneIteration | Sample Leaf Scale
sample_bart_posterior_predictive | Sample BART Posterior Predictive
sample_bcf_posterior_predictive | Sample BCF Posterior Predictive
sample_without_replacement | Sample Without Replacement
saveBARTModelToJson | Convert BART Model to JSON
saveBARTModelToJsonFile | Save BART Model to JSON File
saveBARTModelToJsonString | Convert BART Model to JSON String
saveBCFModelToJson | Convert BCF Model to JSON
saveBCFModelToJsonFile | Save BCF Model to JSON File
saveBCFModelToJsonString | Convert BCF Model to JSON String
savePreprocessorToJsonString | Convert Covariate Preprocessor to JSON String
stochtree | stochtree: Stochastic Tree Ensembles (XBART and BART) for Supervised Learning and Causal Inference
summary.bartmodel | Summarize the BART model fit and sampled terms.
summary.bcfmodel | Summarize BCF Model