Extract random effects from a ubmsFit model. Note that this function
works like ranef for merMod objects from lme4, not like
ranef for unmarkedFit objects. To get functionality similar
to that of unmarkedFit, use posterior_predict.
# S4 method for class 'ubmsFit'
ranef(object, submodel, summary = FALSE, add_mean = TRUE, ...)A fitted model of class ubmsFit
The name of the submodel, as a character string, for which to generate the random effects
If TRUE, calculate mean, SD, and 95
for each random effect term
If TRUE (the default) add the overall intercept or
slope mean and return the complete random intercept or slope.
Currently ignored
If summary=FALSE, a list of random effect values; if
TRUE, a data frame with columns for random effect mean, SD, and
95
Note: by default this function adds the overall intercept or slope
to the (mean-0) random effect to get the complete random intercept or slope.
In this way the output is more like the output of lme4::coef
and not lme4::ranef. You can turn this off and return just the
mean-0 random effect by setting argument add_mean = FALSE.
If you run ranef on a submodel with a spatial random effect,
the function will return estimates of parameter eta.