| name | academic-statistical-analysis-team |
| description | 从R语言82种统计方法（回归/生存/贝叶斯/荟萃/因果推断/结构方程）与高级生物统计分析（贝叶斯推断/蒙特卡洛模拟/机器学习/生存模型）、标准化数据分析工作流（数据清洗/统计分析/科学可视化）与37种统计检验方法（正态性/位置/相关性/时间序列/模型诊断），到中文数据分析报告（统计分析/可视化建议/趋势检测）与数学统计绘图引擎（图表生成/计算验证/可视化呈现）的完整统计分析工作流。覆盖统计方法选择、高级建模、标准化流程、检验验证、分析报告、图表输出全链路。 |
统计分析
Use this skill as the routing entry point for the 统计分析 workflow. It coordinates the companion skills in this bundle instead of replacing them.
Workflow
- Read
references/guide.md to classify the user request, required inputs, and expected deliverables.
- Choose the smallest relevant companion skill set. For full-package requests, run the guide sections in order.
- Preserve user-provided facts and mark assumptions explicitly. Ask only for missing inputs that block the next useful step.
- Return concrete artifacts named by the guide, plus open questions, risks, and verification notes where relevant.
Companion Skills
$r-stats$biostatistics$data-analysis-workflow$statistics-2$data-analyst-cn$mathgraphs
Output
Produce only the deliverables relevant to the matched workflow. For full-package requests, assemble the final output package described in references/guide.md.
