performance
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easystats
:muscle: Models' quality and performance metrics (R2, ICC, LOO, AIC, BF, ...)
Any chance you might add an r2 function for models produced using the spaMM package?
Reprex: ``` mod = brm(mpg ~ 0 + Intercept + cyl + disp + hp, data = mtcars, backend = "cmdstan", refresh = 0) Warning message: Model has no intercept....
- [ ] deviance/log-likelihood CV - [ ] add support for non-normal models - [ ] add support for binomial models (what's a good approach here)? - [ ] integrate...
Hi! Would it be possible to make your package compatible with [{rethinking}](https://github.com/rmcelreath/rethinking) models? Especially `ulam`, which is built on top of STAN. [{tidybayes} package did the same](https://github.com/mjskay/tidybayes.rethinking), so it might...
There are several packages out there, like `rego` for Stata that provide a Shapley/Owen decomposition for R^2 and R^2 types (adjusted etc.) goodness-of-fit measures. See this paper for example: https://projecteuclid.org/journals/electronic-journal-of-statistics/volume-6/issue-none/Axiomatic-arguments-for-decomposing-goodness-of-fit-according-to-Shapley/10.1214/12-EJS710.full...
What's this weirdness? ``` r library(performance) #> Warning: package 'performance' was built under R version 4.1.3 library(see) set.seed(1) x Warning in simpleLoess(y, x, w, span, degree = degree, parametric =...
I'm not exactly what the thinking is behind the current behavior of `check_model()` for Stan models. It calls the internal function `performance:::.check_assumptions_stan()`. This returns a data frame with columns Group...
`lavaan` models fitted using robust maximum likelihood give the following fit indices:  `compare_performance()` appears to use the fit indices under maximum likelihood (e.g., for CFI, .874). Is there a...
The `test_performance` function [docs](https://easystats.github.io/performance/reference/test_performance.html) feature the following example: ```r m1
```r library(performance) library(lme4) data("sleepstudy") m
