Error: No glance method for objects of class MixMod about glmmadaptive HOT 6 CLOSED

There seem to be experimental functions in broom.mixed, but these don't seem to work?

Moreover, I can't seem to find any other way to extract the residual degrees of freedom from the model (normally this would be given by glance()), is there any other way to extract this?

from glmmadaptive.

from glmmadaptive.

Thank you for the quick response. Is there any way to extract the residual df from a MixMod object?

from glmmadaptive.

from glmmadaptive.

Yeah, I ran into that too, maybe a temporary workaround can be added to allow functionality that depends on residual degrees of freedom?

For example from the glmmTMB package?
(Don't know if this is an acceptable solution, but this would allow the package to be used with for example MICE).

##' @importFrom stats df.residual
##' @method df.residual glmmTMB
##' @export
##  TODO: not clear whether the residual df should be based
##  on p=length(beta) or p=length(c(theta,beta)) ... but
##  this is just to allow things like aods3::gof to work ...
##  Taken from LME4, including the todo
##
df.residual.glmmTMB <- function(object, ...) {
  nobs(object)-length(object$fit$par)
}

from glmmadaptive.

Perhaps it would allow it to work with MICE, but the relevant questions are where these degrees of freedom will be used and whether giving these degrees of freedom may lead to incorrect results.

from glmmadaptive.