Vera Stat Count Testing

Runs distribution diagnostics and primary hypothesis tests for count outcome variables (non-negative integers with no upper bound). Produces frequency table, overdispersion assessment, zero-inflation check, bar chart of count distribution with Poisson overlay, and one fully interpreted group comparison (Poisson/NB rate test for 2 groups or Poisson/NB regression with likelihood ratio test for 3+ groups) with incidence rate ratios and nonparametric confirmation. Detects whether data are raw event counts or event rates with exposure/offset. Ends with a recommendation block listing additional analyses available via the full analysis pipeline. Outputs .R and .py scripts with 2 publication-quality plots. Triggered when user has a count/frequency outcome and says "count outcome," "number of events," "frequency," "how many," "Poisson," "incidents," "occurrences," "integer outcome floor at zero," "rate," "per capita," "per 1000." Does not handle binary, continuous, survival, ordinal, repeated measures, or SEM outcomes.

mkdir -p ~/.claude/skills/vera-stat-count-testing
curl -L https://claudskills.com/skills/vera-stat-count-testing/SKILL.md \
  -o ~/.claude/skills/vera-stat-count-testing/SKILL.md

@misc{vera-stat-count-testing-2026,
  author    = {ClaudSkills},
  title     = {Vera Stat Count Testing [Claude Code skill]},
  year      = {2026},
  publisher = {ClaudSkills},
  url       = {https://claudskills.com/skills/vera-stat-count-testing/}
}