jacob-long / jacob-long/interactions

Support factor predictors with continuous moderators in sim_slopes/johnson_neyman

Open
#5 0 comments 0 reactions 0 assignees View on GitHub
enhancement
Dominant language
R
Stars
135
Forks
19
PR merge metrics
No merged PRs in 30d

Description

This would involve finding a j_n interval at each level of the factor predictor. For now, would involve too much of a rework of the underlying functions for me to do it. It's not too much unlike what is done for second moderators, though.

Contributor guide

No contributing guide indexed for this repository

Research direction

Start with the sim_slopes and johnson_neyman entry points, then compare how second moderators are handled. Determine the underlying rework needed to compute a Johnson–Neyman interval at each level of a factor predictor; the work is done when both functions support those intervals consistently.

Written by the indexing model from the issue text.

Assessment

Tech stack
r
Domain
analytics
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Needs clarification
Newbie friendliness
25/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.