mlm_guide
Guide to multilevel modeling with ICC calculation, random effects specification, and cross-level interaction analysis for hierarchical data structures.
Instructions
다층모형 가이드 (ICC, 랜덤효과, 교차수준 상호작용)
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| levels | Yes | 수준 수 (2 or 3) | |
| random_effects | No | 랜덤효과 | |
| cross_level | No | 교차수준 상호작용 |
Implementation Reference
- src/tools/index.ts:691-703 (registration)Registration of the 'mlm_guide' tool in the exported tools array, including name, description, and input schema.
{ name: "mlm_guide", description: "다층모형 가이드 (ICC, 랜덤효과, 교차수준 상호작용)", inputSchema: { type: "object", properties: { levels: { type: "number", description: "수준 수 (2 or 3)" }, random_effects: { type: "array", items: { type: "string" }, description: "랜덤효과" }, cross_level: { type: "boolean", description: "교차수준 상호작용" }, }, required: ["levels"], }, }, - src/tools/index.ts:694-702 (schema)Input schema for the mlm_guide tool defining parameters: levels (required), random_effects, cross_level.
inputSchema: { type: "object", properties: { levels: { type: "number", description: "수준 수 (2 or 3)" }, random_effects: { type: "array", items: { type: "string" }, description: "랜덤효과" }, cross_level: { type: "boolean", description: "교차수준 상호작용" }, }, required: ["levels"], }, - src/tools/index.ts:1903-1913 (handler)Handler function that executes the mlm_guide tool, providing key multilevel modeling concepts (ICC, random slopes, cross-level interactions) and example lme4 R code.
function handleMlmGuide(args: Record<string, unknown>) { return { levels: args.levels, key_concepts: { icc: "Intraclass Correlation - 집단간 분산 비율", random_slope: "기울기의 집단간 변이 허용", cross_level: "수준간 상호작용" }, r_code: "library(lme4)\nfit <- lmer(y ~ x1 + (1 + x1 | group), data = df)" }; }