After calling a function such as mod_pois() or
set_prior() it is good practice to print the
model object at the console, to check the model's
structure. The output from print() has
the following components:
A header giving the class of the model
and noting whether the model has been fitted.
A formula giving the
outcome variable and terms for the model.
A table giving the number of parameters, and
(fitted models only) the standard
deviation across those parameters,
a measure of the term's importance.
See priors() and tidy().
Values for other model settings. See set_disp(),
set_var_age(), set_var_sexgender(), set_var_time(),
set_n_draw()
Details on computations (fitted models only).
See computations().
Usage
# S3 method for bage_mod
print(x, ...)
Value
x, invisibly.
Arguments
x
Object of class "bage_mod", typically
created with mod_pois(), mod_binom(),
or mod_norm().
...
Unused. Included for generic consistency only.
See Also
mod_pois(), mod_binom(), mod_norm() Model specification and class
fit.bage_mod() and is_fitted() Model fitting
priors Overview of priors for model terms
tidy.bage_mod() Number of parameters,
and standard deviations
set_disp() Dispersion
set_var_age(), set_var_sexgender(), set_var_time()
Age, sex/gender and time variables