statistical-software-qa
CommunityQA patterns and tests for statistical software.
Data & Analytics#testthat#unit-testing#quality-assurance#statistical-software#R-packages#numerical-precision
AuthorData-Wise
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill standardizes quality assurance for statistical software, helping researchers verify numerical accuracy, detect edge-case failures, and prevent silent bugs in analysis pipelines.
Core Features & Use Cases
- Unit and integration testing patterns for R packages, including numerical checks and edge-case coverage.
- Reference implementation validation by comparing results against known-good outputs and external benchmarks.
- Reproducible testing workflows that enable consistent validation across multiple packages and versions.
Quick Start
Use this skill to generate a complete test plan for an R package, focusing on numerical accuracy, robustness to edge cases, and reproducibility of results.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: statistical-software-qa Download link: https://github.com/Data-Wise/scholar/archive/main.zip#statistical-software-qa Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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