diagnostic-quantities: Extract Diagnostic Quantities of 'MVBeliefUpdatr' Models

In hlplab/MVBeliefUpdatr: Fitting, Summarizing, and Visualizing of Gaussian Ideal Observers and Adaptors

Extract Diagnostic Quantities of MVBeliefUpdatr Models

Description

Extract quantities that can be used to diagnose sampling behavior of the algorithms applied by Stan at the back-end of MVBeliefUpdatr. These diagnostic functions are all copied and modified from brms.

Usage

## S3 method for class 'ideal_adaptor_stanfit'
log_posterior(x, ...)

## S3 method for class 'ideal_adaptor_stanfit'
nuts_params(x, pars = NULL, ...)

## S3 method for class 'ideal_adaptor_stanfit'
rhat(x, pars = NULL, ...)

## S3 method for class 'ideal_adaptor_stanfit'
neff_ratio(x, pars = NULL, ...)

Arguments

x	An MVBeliefUpdatr object.
...	Arguments passed to individual methods.
pars	An optional character vector of parameter names. For nuts_params these will be NUTS sampler parameter names rather than model parameters. If pars is omitted all parameters are included.

Details

For more details see bayesplot-extractors.

Value

The exact form of the output depends on the method.

hlplab/MVBeliefUpdatr documentation built on July 5, 2025, 6:42 a.m.