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

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Documentation for package ‘stochtree’ version 0.3.0

• DESCRIPTION file.
• Package NEWS.

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