easystats / easystats/performance

Multiple intercepts in multinomial logistic regression currently ignored in check_collinearity()

Open
#907 1 comment 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Bug :bug:
Dominant language
R
Stars
1.2k
Forks
109
Avg merge
6h 34m
Merged PRs (30d)
8

Description

Upon inspection of the check_collinearity() function, handling multiple intercepts is currently only supported for mixed models (clm and clmm objects), but not for multinomial logistic regression objects, like car::multinom().

Could you account for the multiple intercepts in these type of models as well?

Contributor guide

Open the contributing guide

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reading check_collinearity() and compare how it handles multiple intercepts for clm and clmm objects. Trace the handling of car::multinom() models, then verify that all intercepts are accounted for and that the existing collinearity checks still behave correctly.

Written by the indexing model from the issue text.

Assessment

Tech stack
r
Domain
machine-learning
Issue type
Bug
Difficulty
3/5
Estimated time
1-2 days
Activity status
Active
Clarity
Mostly clear
Newbie friendliness
68/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.