r-stats

r-stats is a Statistical modelling skill for AI agents, published by DAAF-Contribution-Community in the daaf repository on GitHub. Skillspace rates r-stats D (66/100) and it passed the safety scan; the rating is based on static analysis only.

R statistical modeling with base stats, sandwich, lmtest, car, broom. OLS/WLS/ GLS via lm(), GLMs via glm() (logit, probit, Poisson, negative binomial), robust/clustered SEs via sandwich+lmtest, diagnostics via car, tidy output via broom. Use when execution language is R. Python equivalent: statsmodels. For FE regressions use fixest; for panel RE/between use plm; for complex surveys use survey-r.

Grade
D
Quality
66 / 100
Safety
Passed
GitHub stars
220

Unproven: rated by static analysis only, not yet compared head-to-head.

This rating describes the version of the repository we crawled; it may have changed since, so go by its current files.

View source on GitHubDAAF-Contribution-Community/daaf

Our review

Architecture
84 / 100
Maturity
Structured: ships references or scripts
Security scan
No issues found
License
LGPL-3.0
Adoption
Adopted by 0 other repositories, in 0 collections

Not checked yet

  • Not judged on the rubric yet (not a contender in its category)
  • No blind task eval yet
  • Scope (portable / vendor / repo-internal) not assessed; only the top of each category is read for scope
  • Sibling files (scripts, references) not fetched; security scan covers SKILL.md only

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