`R/helpfunctions_summary.R`

`rd_vcov.Rd`

Extract the random effects variance covariance matrix Returns the posterior mean of the variance-covariance matrix/matrices of the random effects in a fitted JointAI object.

```
rd_vcov(object, outcome = NULL, start = NULL, end = NULL, thin = NULL,
exclude_chains = NULL, mess = TRUE, warn = TRUE)
```

- object
object inheriting from class 'JointAI'

- outcome
optional; vector of integers giving the indices of the outcomes for which the random effects variance-covariance matrix/matrices should be returned.

- start
the first iteration of interest (see

`window.mcmc`

)- end
the last iteration of interest (see

`window.mcmc`

)- thin
thinning interval (integer; see

`window.mcmc`

). For example,`thin = 1`

(default) will keep the MCMC samples from all iterations;`thin = 5`

would only keep every 5th iteration.- exclude_chains
optional vector of the index numbers of chains that should be excluded

- mess
logical; should messages be given? Default is

`TRUE`

.- warn
logical; should warnings be given? Default is

`TRUE`

.