Function mlogit

mlogit(
    y: ArrayLike<string | number | null | undefined>,
    X: Predictors,
    options?: {
        confidence?: number;
        maxIter?: number;
        names?: string[];
        reference?: string | number;
    },
): NominalResult
Nominal (multinomial) Logistic Regression (Minitab): for each non-reference level j, log[P(Y = j)/P(Y = ref)] = α_j + x'β_j. Reference defaults to the first sorted level.
Parameters
- y: ArrayLike<string | number | null | undefined>
- X: Predictors
- Optionaloptions: {
      confidence?: number;
      maxIter?: number;
      names?: string[];
      reference?: string | number;
  }
Returns NominalResult
- Defined in advanced/dist/index.d.ts:1559