BARTSerialization       BART Serialization Routines
BCFSerialization        BCF Serialization Routines
CppJson                 JSON C++ Object Wrapper
CppRNG                  Random Number Generator C++ Wrapper
DataPreprocessing       Data Preprocessing Routines
Forest                  Forest C++ Wrapper
ForestDataset           Forest Dataset C++ Wrapper
ForestKernelComputation
                        Forest Kernel Computation Routines
ForestModel             Forest Model C++ Wrapper
ForestModelConfig       Forest Model Configuration Object
ForestSamples           Forest Container C++ Wrapper
ForestSamplesSerialization
                        Forest Container Serialization Routines
ForestStateManagement   Forest State Management Routines
GlobalModelConfig       Global Model Configuration Object
JSONCreation            JSON Creation Routines
Outcome                 Outcome Data C++ Wrapper
OutcomeModel            Create a New Outcome Model Object
RandomEffectSamples     Random Effect Container C++ Wrapper
RandomEffectSamplesSerialization
                        Random Effects Container Serialization Routines
RandomEffectStateManagement
                        Random Effects State Management Routines
RandomEffectsDataset    Random Effects Dataset C++ Wrapper
RandomEffectsModel      Random Effects Model C++ Wrapper
RandomEffectsTracker    Random Effects Tracker C++ Wrapper
bart                    Run BART for Supervised Learning
bcf                     Run BCF for Causal Effect Estimation
calibrateInverseGammaErrorVariance
                        Calibrate Inverse Gamma Prior
computeBARTPosteriorInterval
                        Compute BART Posterior Credible Intervals
computeBCFPosteriorInterval
                        Compute BCF Posterior Credible Intervals
computeContrastBARTModel
                        Compute Contrast for BART Model
computeContrastBCFModel
                        Compute Contrast for BCF Model
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
createRandomEffectSamples
                        Create RandomEffectSamples Object
createRandomEffectsDataset
                        Create RandomEffectsDataset Object
createRandomEffectsModel
                        Create RandomEffectsModel Object
createRandomEffectsTracker
                        Create RandomEffectsTracker Object
extractParameter        Extract Parameter Samples Generic Function
extractParameter.bartmodel
                        Extract BART Parameter Samples
extractParameter.bcfmodel
                        Extract BCF Parameter Samples
getRandomEffectSamples
                        Extract Random Effect Samples Generic Function
getRandomEffectSamples.bartmodel
                        Extract Random Effects Samples from BART Model
getRandomEffectSamples.bcfmodel
                        Extract Random Effect Samples from BCF Model
loadScalarJson          Load Scalar from JSON
loadVectorJson          Load Vector from JSON
plot.bartmodel          Plot BART Model Fit
plot.bcfmodel           Plot BCF Model
predict.bartmodel       Predict from a BART Model
predict.bcfmodel        Predict from BCF Model
print.ForestSamples     Summarize a ForestSamples Object
print.RandomEffectSamples
                        Summarize a RandomEffectSamples Object
print.bartmodel         Print Summary of BART Model
print.bcfmodel          Print Summary of BCF Model
sampleBARTPosteriorPredictive
                        Sample BART Posterior Predictive
sampleBCFPosteriorPredictive
                        Sample BCF Posterior Predictive
sampleGlobalErrorVarianceOneIteration
                        Sample Global Error Variance
sampleLeafVarianceOneIteration
                        Sample Leaf Scale
sample_without_replacement
                        Sample Without Replacement
stochtree-package       stochtree: Stochastic Tree Ensembles (XBART and
                        BART) for Supervised Learning and Causal
                        Inference
summary.bartmodel       Summarize BART Model Fit and Parameters
summary.bcfmodel        Summarize BCF Model
