Function mixedModel

mixedModel(
    y: ArrayLike<number>,
    options: {
        confidence?: number;
        fixed: ArrayLike<ArrayLike<number>>;
        group: ArrayLike<string | number>;
        group2?: ArrayLike<string | number>;
        groupNested?: ArrayLike<string | number>;
        intercept?: boolean;
        maxIter?: number;
        names?: string[];
        reml?: boolean;
        slope?: ArrayLike<number>;
    },
): MixedModelResult
Random-intercept (+ optional independent random slope) linear mixed model via iterative GLS. Backward compatible: pass group for RI-only; or slope covariate for RI+RS. Nested two-level RI: group = outer, groupNested = inner (IDs unique within outer). Crossed RI: group + group2 (independent intercepts).
Parameters
- y: ArrayLike<number>
- options: {
      confidence?: number;
      fixed: ArrayLike<ArrayLike<number>>;
      group: ArrayLike<string | number>;
      group2?: ArrayLike<string | number>;
      groupNested?: ArrayLike<string | number>;
      intercept?: boolean;
      maxIter?: number;
      names?: string[];
      reml?: boolean;
      slope?: ArrayLike<number>;
  }
  - Optionalconfidence?: number
  - fixed: ArrayLike<ArrayLike<number>>
  - group: ArrayLike<string | number>
  - Optionalgroup2?: ArrayLike<string | number>
    
    Second crossed random-intercept factor (independent of group).
  - OptionalgroupNested?: ArrayLike<string | number>
    
    Inner nesting factor (nested within group).
  - Optionalintercept?: boolean
  - OptionalmaxIter?: number
  - Optionalnames?: string[]
  - Optionalreml?: boolean
  - Optionalslope?: ArrayLike<number>
    
    Optional continuous covariate for random slope (correlated with intercept).
Returns MixedModelResult
- Defined in advanced/dist/index.d.ts:2839