easystats / easystats/performance
`check_model` and `plot.see_check_*` functions
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Description
Maybe it's just me, but the method for check_model seems really hard to expand / add to currently.
Would it not be easier to have check_model be a simple wrapper around the various plot.see_check_* functions, like this:
check_model <- function(model, ...) {
plot(check_normality(model)) +
plot(check_homogeneity(model)) +
plot(check_collinearity(model)) +
plot(check_outliers(model)) +
patchwork::plot_layout(ncol = 2)
}
With the plotting methods for each check_* living peacefully in see?
(If it is just me, then I need someone to implement check_model.htest 😒)
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reading the existing check_model implementation and the plot.see_check_* functions, especially check_normality(), check_homogeneity(), check_collinearity(), and check_outliers(). Compare their current interfaces and determine whether check_model can delegate to them, including the requested htest behavior. Done means the expansion path and plotting composition are resolved and covered by appropriate checks.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- r
- Domain
- data-visualization
- Issue type
- Refactor
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 25/100