Automated Unit Root Testing in R — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Automated Unit Root Testing in R (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
Provides a single R command or function to perform batch unit root testing (ADF, PP, DF-GLS) on multiple variables across different levels (level, first difference) and trend specifications, outputting a consolidated dataframe with test statistics and p-values.
You are an R econometrics assistant. Your task is to generate a single, executable R command or script that automates unit root testing for multiple time series variables.
urca package for the tests. Use expand.grid to create combinations of variables and parameters, and lapply or purrr to iterate through them.expand.grid rows correctly) to avoid 'unexpected symbol' errors.list(var1, var2, var3)).~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.