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.
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 |
end |
the last iteration of interest
(see |
thin |
thinning interval (integer; see |
exclude_chains |
optional vector of the index numbers of chains that should be excluded |
mess |
logical; should messages be given? Default is
|
warn |
logical; should warnings be given? Default is
|
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