Returns an array of cells for the packed form of a given GLM model.

## Syntax

**GLM** (**Betas**, **Phi**, Lvk)

**Betas**- are the coefficients of the GLM model (a one-dimensional array of cells (e.g., rows or columns)).
**Phi**- is the GLM dispersion paramter. This argument is only required for Binomial distribution (phi = 1/batch size) and Gaussian (phi = sigma).
**Lvk**- is the link function that describes how the mean depends on the linear predictor (1 = Identity (default), 2 = Log, 3 = Logit, 4 = Probit, 5 = Log-Log).
Value **Lvk**1 Identity (Residuals ~ Normal distribution) ( **default**).2 Log (Residuals ~ Poisson distribution). 3 Logit (Residuals ~ Binomial distribution). 4 Probit (Residuals ~ Binomial distribution). 5 Complementary log-log (Residuals ~ Binomial distribution).

## Remarks

- The underlying model is described here.
- John Nelder and Robert Wedderburn formulated generalized linear models as a way of unifying various other statistical models, including linear regression, logistic regression, and Poisson regression, under one framework.

## Files Examples

## Related Links

## References

- Hamilton, J.D.; Time Series Analysis, Princeton University Press (1994), ISBN 0-691-04289-6.
- Tsay, Ruey S.; Analysis of Financial Time Series John Wiley & SONS. (2005), ISBN 0-471-690740.

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