Function glm

glm(
    x: Sample | MatrixInput,
    y: Sample | MatrixInput,
    options?: GlmOptions,
): GlmResult
Fit a generalized linear model by iteratively reweighted least squares. Equivalent to R's glm(y ~ x, family = ...). Or y ~ x - 1 without intercept; the predictors are given as a matrix instead of a formula. Rows with a missing value (NaN) in x, y, the weights or the offset are dropped. Every family and link of R's stats is available; R's warnings are returned in warnings. See glmSummary, glmResiduals, glmPredict, glmConfint and glmAnova for the methods.
Parameters
- x: Sample | MatrixInput
  Predictors: a matrix (array of rows, one column per predictor; rows of length 0 for a model with the intercept only) or a vector (one predictor).
- y: Sample | MatrixInput
  Response: a vector, or for the binomial families rows of (successes, failures).
- options: GlmOptions = {}
Returns GlmResult
Example
```
const fit = glm([1, 2, 3, 4, 5, 6], [0, 0, 1, 0, 1, 1], { family: "binomial" });
fit.coefficients; // [-4.2491, 1.214]
glmSummary(fit).pValue; // [0.20976, 0.18341]
```
- Defined in models/glm.ts:561