R: Covariance and Correlation Matrix of Population-Level Effects

vcov.brmsfit {brms} | R Documentation

## 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 samples.

### Value

covariance or correlation matrix of population-level parameters

### Examples

    ## Not run:
    fit <- brm(count ~ log_Age_c + log_Base4_c * Trt_c + (1+Trt_c|visit),
               data = epilepsy, family = gaussian(), chains = 2)
    vcov(fit)

    ## End(Not run)

[Package brms version 2.6.0 Index]