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stochtree 0.0.0.9000

Reference
- High-Level Model Fitting
- Bayesian Supervised Learning in StochTree
- Causal Machine Learning in StochTree
- Bayesian Supervised Learning with Heteroskedasticity in StochTree
- Advanced Model Interface
- Running Multiple Chains (Sequentially or in Parallel) in StochTree
- Model Serialization in StochTree
- Prior Calibration Approaches for Parametric Components of Stochastic Tree Ensembles
- Kernel Methods from Tree Ensembles in StochTree
- Deeper Dive on Sampled Forests in StochTree
- Prototype Interface
- Custom Sampling Routines in StochTree

Create an outcome object

createOutcome.Rd

Create an outcome object

Usage

createOutcome(outcome)

Arguments

outcome: Vector of outcome values

Value

Outcome object

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Developed by Drew Herren, Richard Hahn, Jared Murray, Carlos Carvalho, Jingyu He.

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