easystats / easystats/performance

Expanded performance_cv() support

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Enhancement :boom:
Dominant language
R
Stars
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Forks
109
Avg merge
6h 34m
Merged PRs (30d)
8

Description

  • deviance/log-likelihood CV
  • add support for non-normal models
  • add support for binomial models (what's a good approach here)?
  • integrate with loo() for bayesian models?

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 the existing performance_cv() implementation and its current model coverage. The issue proposes deviance/log-likelihood cross-validation, non-normal and binomial model support, and possible loo() integration for Bayesian models; done would require a decided scope and tests covering the selected additions.

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
25/100

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