Function glmPredict

glmPredict(
    given: GlmResult,
    options?: GlmPredictOptions,
): {
    fit: number[];
    nonEstimable?: number[];
    seFit: number[];
    warnings?: string[];
}
Predictions of a generalized linear model with their standard errors, for a glm fit. Equivalent to R's predict(fit, newdata, type, se.fit = TRUE). Aliased columns are left out, as R does.
Parameters
- given: GlmResult
- options: GlmPredictOptions = {}
Returns { fit: number[]; nonEstimable?: number[]; seFit: number[]; warnings?: string[] }
- fit: number[]
  
  Predictions on the scale of type, one per row.
- OptionalnonEstimable?: number[]
  
  0-based rows of newdata whose prediction is not estimable from a rank-deficient fit (R's attr(, "non-estim")); present only when there are some.
- seFit: number[]
  
  Their standard errors (R's se.fit).
- Optionalwarnings?: string[]
  
  R's warning for those rows; present only when there are some.
Example
```
const fit = glm([1, 2, 3, 4, 5, 6], [0, 0, 1, 0, 1, 1], { family: "binomial" });
glmPredict(fit, { newdata: [7] }); // { fit: [4.2491], seFit: [3.3878] }
glmPredict(fit, { newdata: [7], type: "response" }).fit; // [0.98592]
```
- Defined in models/glm.ts:1175