For models with dispersion models, it would be nice if two things were possible:
Incorporation of modeled dispersion parameters into prediction intervals in estimate_prediction().
Estimate predicted dispersion and confidence intervals on the link or response scale. This could be an option in estimate_response() and related functions (cf. https://github.com/easystats/insight/issues/413) or a separate estimate_dispersion(). Like with estimate_prediction(), making this an alias of estimate_response() with default options might make sense.
Relatedly, options for estimating zero-inflation predictions would be great.
For models with dispersion models, it would be nice if two things were possible:
estimate_prediction()
.estimate_response()
and related functions (cf. https://github.com/easystats/insight/issues/413) or a separateestimate_dispersion()
. Like withestimate_prediction()
, making this an alias ofestimate_response()
with default options might make sense.Relatedly, options for estimating zero-inflation predictions would be great.