arthur-albuquerque

This would be a very useful commit. Any updates?

Oh ok, nice! Thanks. Another Q: insight::get_predicted() supports an argument to calculate the prediction interval (predict = "prediction"). I couldn't find a similar option in marginaleffects::predictions' documentation. Is that currently...

Understand your concerns. I am no `insight` expert; perhaps @bwiernik could chip in :)

It works very smoothly on my PC, a game-changer! Thanks, Claudio. If I may suggest, it would be very nice if {trackdown} also highlighted citation brackets (e.g., [@cite]) throughout the...

I see, thank you for the quick reply! I don't think that users expect to get results from summary(), especially not [when plotting results with `see`. ](https://easystats.github.io/see/articles/parameters.html#model-parameters-of-meta-analysis-models-with-subgroups) Don't you agree...

`metafor` is an excellent package, but [there isn't a built-in easy way](https://www.metafor-project.org/doku.php/plots:forest_plot_with_subgroups) to plot results from subgroups. By contrast, the [R package meta](https://github.com/guido-s/meta) has a nice forest() function that quickly...

Perhaps the new function `metafor::emmprep` can help. Its features were described by @wviechtb in [this thread](https://twitter.com/wviechtb/status/1564835961174986752?s=20&t=jX9gKKhJ0HYzGF_S4zaWZg).

[This thread](https://github.com/easystats/bayestestR/issues/521) by @bwiernik seems relevant.

"hdci yields the highest-density continuous interval" https://mjskay.github.io/ggdist/reference/point_interval.html

Hi! I see. The model was extracted from this [article](https://onlinelibrary.wiley.com/doi/10.1002/sim.7588), section: "Model 6: the “Van Houwelingen bivariate” model". Honestly, I am an inexperienced medical student, so I am not sure...