Open wwiecek opened 2 years ago
posterior_predict
could have a 3-fold function:
effect_draw
(average effect in a new setting)newdata = ...
)predict.
generic, but should use group_effects
insteadWhat if newdata
has logical type columns but either FALSE or TRUE is not present? Will model.matrix not break things?
Update: as of 0.7.1 we only need to implement the third bulletpoint in the list above.
Also need posterior_predict()
and posterior_interval()
. See #34 for much older conversations on this
To bring this in line with other rstan packages.