easystats / easystats/performance
Expand MLM R2 measures
Nobody has claimed this yet.
- Dominant language
- R
- Stars
- 1.2k
- Forks
- 109
- Avg merge
- 6h 34m
- Merged PRs (30d)
- 8
Description
Paper 1: https://doi.org/10.1037/met0000184
Paper 2: http://doi.org/10.1080/00273171.2019.1660605
These should expand on the already existent marginal and conditional R2, as the break it down by level and source of variation. (That is why it is not for effectsize, as these aren't split by effect or term, but by fixed/random/type, and so are model-wise effect sizes).
(As implemented in r2mlm)
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
Read the two cited papers and the r2mlm documentation first, then inspect the existing marginal and conditional R2 implementations. Determine how the proposed measures break variation down by level and source, and define completion against the published measures and their expected outputs.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- r
- Domain
- data
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100