GlobalModelConfig {stochtree} | R Documentation |
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
Method new()
Usage
GlobalModelConfig$new(global_error_variance = 1)
Arguments
global_error_variance
Global error variance parameter (default:
1.0
)
Returns
A new GlobalModelConfig object.
Method update_global_error_variance()
Update global error variance parameter
Usage
GlobalModelConfig$update_global_error_variance(global_error_variance)
Arguments
global_error_variance
Global error variance parameter
Method get_global_error_variance()
Query global error variance parameter for this GlobalModelConfig object
Usage
GlobalModelConfig$get_global_error_variance()
[Package stochtree version 0.1.1 Index]