GlobalModelConfig: Object used to get / set global parameters and other global...

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

Object used to get / set global parameters and other global model configuration options in the "low-level" stochtree interface

Description

The "low-level" stochtree interface enables a high degreee of sampler customization, in which users employ R wrappers around C++ objects like ForestDataset, Outcome, CppRng, and ForestModel to run the Gibbs sampler of a BART model with custom modifications. GlobalModelConfig allows users to specify / query the global parameters of a model they wish to run.

Value

Global error variance parameter

Public fields

global_error_variance

Global error variance parameter Create a new GlobalModelConfig object.

Methods

Public methods

• GlobalModelConfig$new()

• GlobalModelConfig$update_global_error_variance()

• GlobalModelConfig$get_global_error_variance()

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Method new()

Usage

GlobalModelConfig$new(global_error_variance = 1)

Arguments

global_error_variance

Global error variance parameter (default: 1.0)

Returns

A new GlobalModelConfig object.

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Method update_global_error_variance()

Update global error variance parameter

Usage

GlobalModelConfig$update_global_error_variance(global_error_variance)

Arguments

global_error_variance

Global error variance parameter

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Method get_global_error_variance()

Query global error variance parameter for this GlobalModelConfig object

Usage

GlobalModelConfig$get_global_error_variance()

stochtree documentation built on April 4, 2025, 2:11 a.m.