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:crystal_ball: Easy access to model information for various model objects

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``` library(brms) library(insight) set.seed(12901) d

3 investigators :grey_question::question:
get_variance

`get_data.coxph` returns data without labels. As a consequence, when used for `parameters::parameters`, the attribute `pretty_labels` is not useful at all. Indeed, in the function https://github.com/easystats/insight/blob/a95325c169707b37ddba06f0cd7bf5c84fc9edb5/R/get_data.R#L1827-L1852 the issue happens with `.prepare_get_data`,...

3 investigators :grey_question::question:

It seems like there is an error when running the icc() function on a glmmTMB object that is ran with the ordbeta() family. The icc() is way lower than expected...

3 investigators :grey_question::question:
get_variance

I think that `insight::get_variance()` reports the incorrect residual variance for logit models from `brms` (and possibly other packages). It reports the variance as 1 (which is correct for a probit...

waiting for response :love_letter:
3 investigators :grey_question::question:
get_variance

Continuing https://github.com/easystats/insight/pull/514 In https://github.com/easystats/insight/pull/514, I added `include_interval` arguments to `get_data.rma()` to replace those in `parameters::parameters()`. This issue tracks other updates needed for *metafor* support. I'm looking to improve our handling...

Enhancement :boom:

Not sure if this is how you request additional model support, but hoping in a future update to have model support created from the 'saemix' package. https://cran.r-project.org/web/packages/saemix/saemix.pdf Thanks!

Help us :eyes:
Low priority :sleeping:
New models :alien:

cf https://fable.tidyverts.org/reference/index.html

New models :alien:

This issue also might affect the way we calculate CIs for truncated families (via the simulations) _Originally posted by @strengejacke in https://github.com/easystats/insight/issues/679#issuecomment-1308592039_

Enhancement :boom:
3 investigators :grey_question::question:
get_predicted
get_variance