rhat: Extract Diagnostic Quantities of 'brms' Models

In bayesnec: A Bayesian No-Effect- Concentration (NEC) Algorithm

Extract Diagnostic Quantities of 'brms' Models

Description

Extract Rhat statistic that can be used to diagnose sampling behaviour of the algorithms applied by 'Stan' at the back-end of 'brms'. x should be of class bayesnecfit or bayesmanecfit.

Usage

## S3 method for class 'bayesnecfit'
rhat(x, rhat_cutoff = 1.05, ...)

## S3 method for class 'bayesmanecfit'
rhat(x, rhat_cutoff = 1.05, ...)

Arguments

x	An object of class bayesnecfit or bayesmanecfit.
rhat_cutoff	A numeric vector indicating the Rhat cut-off used to test for model convergence.
...	Unused.

Value

A list containing a vector or Rhat values returned for each parameter for a brmsfit object, for each of the fitted models.

Examples

## Not run: 
library(bayesnec)
rhat(manec_example)
nec4param <- pull_out(manec_example, model = "nec4param")
rhat(nec4param)

## End(Not run)

bayesnec documentation built on Sept. 26, 2023, 9:06 a.m.