vcov.brmsfit: Covariance and Correlation Matrix of Population-Level Effects

In brms: Bayesian Regression Models using 'Stan'

Covariance and Correlation Matrix of Population-Level Effects

Description

Get a point estimate of the covariance or correlation matrix of population-level parameters

Usage

## S3 method for class 'brmsfit'
vcov(object, correlation = FALSE, pars = NULL, ...)

Arguments

object	An object of class brmsfit.
correlation	Logical; if FALSE (the default), compute the covariance matrix, if TRUE, compute the correlation matrix.
pars	Optional names of coefficients to extract. By default, all coefficients are extracted.
...	Currently ignored.

Details

Estimates are obtained by calculating the maximum likelihood covariances (correlations) of the posterior draws.

Value

covariance or correlation matrix of population-level parameters

Examples

## Not run: 
fit <- brm(count ~ zAge + zBase * Trt + (1+Trt|visit),
           data = epilepsy, family = gaussian(), chains = 2)
vcov(fit)

## End(Not run)

brms documentation built on Sept. 26, 2023, 1:08 a.m.