easystats / easystats/parameters
robust inference for bayesian models
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Enhancement :boom:
- Dominant language
- R
- Stars
- 499
- Forks
- 45
- Avg merge
- 3d 1h
- Merged PRs (30d)
- 3
Description
Why should frequentists get all the sandwich fun? https://projecteuclid.org/journals/annals-of-applied-statistics/volume-4/issue-4/Model-robust-regression-and-a-Bayesian-sandwich-estimator/10.1214/10-AOAS362.full
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 linked paper on model-robust regression and Bayesian sandwich estimation, then review how this R package currently computes parameters for statistical models. The issue names no files, tests, or entry point; done would require a defined scope for robust Bayesian inference and corresponding package support.
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
- Needs clarification
- Newbie friendliness
- 20/100