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Extract Variance and Correlation Components

Source: R/posterior.R
VarCorr.brmcoda.Rd

Calculates the estimated standard deviations, correlations and covariances of the group-level terms of the brmsfit object in a brmcoda object.

Usage

# S3 method for class 'brmcoda'
VarCorr(x, ...)

Arguments

x

An object of class brmcoda.

...

Further arguments passed to VarCorr.brmsfit.

Value

A list of lists (one per grouping factor), each with three elements: a matrix containing the standard deviations, an array containing the correlation matrix, and an array containing the covariance matrix with variances on the diagonal.

See also

VarCorr.brmsfit

Examples

# \donttest{
## fit a model
if(requireNamespace("cmdstanr")){
  m <- brmcoda(complr = complr(data = mcompd, sbp = sbp,
                               parts = c("TST", "WAKE", "MVPA", "LPA", "SB"),
                               idvar = "ID", total = 1440),
  formula = Stress ~ bilr1 + bilr2 + bilr3 + bilr4 +
    wilr1 + wilr2 + wilr3 + wilr4 + (1 | ID),
  chain = 1, iter = 500,
  backend = "cmdstanr")
  
  VarCorr(m)
}# }
#> Loading required namespace: cmdstanr
#> Error: The following variables can neither be found in 'data' nor in 'data2':
#> 'bilr1', 'bilr2', 'bilr3', 'bilr4', 'wilr1', 'wilr2', 'wilr3', 'wilr4'