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

In brms: Bayesian Regression Models using 'Stan'

Extract Diagnostic Quantities of brms Models

Description

Extract quantities that can be used to diagnose sampling behavior of the algorithms applied by Stan at the back-end of brms.

Usage

## S3 method for class 'brmsfit'
log_posterior(object, ...)

## S3 method for class 'brmsfit'
nuts_params(object, pars = NULL, ...)

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

## S3 method for class 'brmsfit'
neff_ratio(object, pars = NULL, ...)

Arguments

object, x	A brmsfit 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.

Examples

## Not run: 
fit <- brm(time ~ age * sex, data = kidney)

lp <- log_posterior(fit)
head(lp)

np <- nuts_params(fit)
str(np)
# extract the number of divergence transitions
sum(subset(np, Parameter == "divergent__")$Value)

head(rhat(fit))
head(neff_ratio(fit))

## End(Not run)

brms documentation built on Sept. 23, 2024, 5:08 p.m.