scdenney/open-science-skills · codex/conjoint-design/SKILL.md
conjoint-design skillA
Designs conjoint and factorial-vignette experiments end to end — attribute architecture and randomization restrictions, effective-N power from the closed-form AMCE standard error, treatment realism, estimand choice among AMCE, marginal means, and AMIE, design variants such as forced choice versus rating, PAP tiers for conjoint flexibility, and the regression models and R packages that implement each. Use when the user is planning a conjoint, drafting or critiquing an attribute table, asking how
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| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| git:20260902.da5a263 latest | 2026-09-02 | da5a263 | 39,330 B | A | view · diff |
| git:20260808.0b54e42 | 2026-08-08 | 0b54e42 | 38,767 B | A | view · diff |
| git:20260702.0d142fe | 2026-07-02 | 0d142fe | 38,766 B | A | view |
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scdenney/open-science-skills · 54 stars · license NOASSERTION · pushed 2026-09-05 · branch main
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