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:muscle: Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)

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Hi! First of all, thank you for creating and maintaining this package! I have come across an unexpected behaviour when applying `r2()` to Dirichlet regression fitted with the `DirichletReg` package....

Enhancement :boom:
3 investigators :grey_question::question:

I think `icc` doesn't work for `glmmTMB` as well: ``` r$> m2 icc(m2) [1] NA ```

waiting for response :love_letter:
reprex :bar_chart:

This is from an `nbinom1` model - the "overdispersion" and "normality of residuals" plots both look odd ... ![Screenshot from 2023-11-21 10-05-50](https://github.com/easystats/performance/assets/78918/4413786a-82ee-494a-8b02-2c788111da47) ``` library(glmmTMB) library(dplyr) ## for mutate_at, %>% #Build...

Bug :bug:
3 investigators :grey_question::question:

In the outliers paper, we currently have the following sentence: > When no method is readily available to detect model-based outliers, such as for structural equation modeling (SEM), looking for...

Feature idea :fire:

https://psyarxiv.com/4r9fq

Enhancement :boom:

Dear Authors, Would you consider adding support for the mmrm and geepack packages? Both packages are essential in clinical trials and it would be really nice to have so much...

Enhancement :boom:

Before writing any code for the new `check_residuals()` function proposed in #376, I wanted to discuss the implementation we want to go with. There are two ways to go about...

enhancement :boom:
feature idea :fire:

`insight::model_info` appears to have a [fairly permissive definition of is_count](https://github.com/easystats/insight/blob/443c5880bfac1170c81acd9dff94d638b67d9bcc/R/utils_model_info.R#L30-L45); in particular, it includes the generalized Poisson, `genpois` (although not `compois`); `is_negbin` also includes the generalized Poisson, within `check_zeroinflation`, though,...

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

Thanks for this amazing package! I found a small issue concerning `performance::check_zeroinflation()` with models obtained from `glmmTMB::glmmTMB()` using Negative Binomial distributions. Minimal Working Example ```r data(Salamanders, package = "glmmTMB") fit_mass

bug :bug:

I have a few students using PCs with the Rstudio for whom `check_model()` produces no output. It's fine if they use the base R GUI on their PC or if...

Waiting for response :love_letter: