multilevelcoda (version 1.3.3)

coef.brmcoda: Model Coefficients

Description

Extract model coefficients, which are the sum of population-level effects and corresponding group-level effects of the brmsfit object in a brmcoda object.

Usage

# S3 method for brmcoda
coef(object, ...)

Value

A list of 3D arrays (one per grouping factor). If summary is TRUE, the 1st dimension contains the factor levels, the 2nd dimension contains the summary statistics (see posterior_summary), and the 3rd dimension contains the group-level effects. If summary is FALSE, the 1st dimension contains the posterior draws, the 2nd dimension contains the factor levels, and the 3rd dimension contains the group-level effects.

Arguments

object

An object of class brmcoda.

...

Further arguments passed to coef.brmsfit.

See Also

coef.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 ~ bz1_1 + bz2_1 + bz3_1 + bz4_1 +
                                  wz1_1 + wz2_1 + wz3_1 + wz4_1 + (1 | ID),
                                  chain = 1, iter = 500,
                                  backend = "cmdstanr")

  ## extract population and group-level coefficients separately
  fixef(m)
  ranef(m)

  ## extract combined coefficients
  coef(m)
}# }