Linear Quantile Mixed Model (lqmm)

Open
#66 1 comment 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

Assessment

Difficulty
5/5
Estimated time
Over a week
Newbie friendliness
35/100
Issue type
Feature
Clarity
Mostly clear
Activity status
Stale
Tech stack
r
Domain
machine-learning

Research direction

Review the existing mixed-model wrappers and the lqmm package interface, including the nlme-derived ranef functionality mentioned in the issue. Determine how the user-supplied tau parameter should be exposed and what supported modeling behavior must be covered. Done means lqmm is integrated consistently with the package's existing model interface.

Written by the indexing model from the issue text.

Description

feature

I think a useful addition would be the Linear Quantile Mixed Model. As with quantile regression, it has become a fairly popular go to modelling approach especially in psychology / education. I think some of the functionality of the lqmm package is imported from nlme (eg ranef). The only additional parameter would require the user to set the tau. I haven't seen this feature raised in currently opened issues or past closed issues.

Dominant language
R
Stars
74
Forks
6
Avg merge
1h 53m
Merged PRs (30d)
1

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.

More from tidymodels/multilevelmod

All issues in tidymodels/multilevelmod

Similar issues

More R issues

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.