glm — Generalized linear models - Stata
Title glm Generalized linear models Description Quick start Menu Syntax Options Remarks and examples Stored results Methods and formulas Acknowledgments References Also see Description glm fits Generalized linear models . It can fit models by using either IRLS (maximum quasilikelihood). or Newton Raphson (maximum likelihood) optimization, which is the default. See [U] 27 Overview of Stata estimation commands for a description of all of Stata 's estimation commands, several of which fit models that can also be fit using glm. Quick start model of y as a function of x when y is a proportion glm y x, family(binomial). Logit model of y events occurring in 15 trials as a function of x glm y x, family(binomial 15) link(logit). Probit model of y events as a function of x using grouped data with group sizes n glm y x, family(binomial n) link(probit).
glm fits generalized linear models. It can fit models by using either IRLS (maximum quasilikelihood) or Newton–Raphson (maximum likelihood) optimization, which is the default. See [U] 27 Overview of Stata estimation commands for a description of all of Stata’s estimation commands, several of which fit models that can also be fit using glm.
Download glm — Generalized linear models - Stata
Information
Domain:
Source:
Link to this page:
Please notify us if you found a problem with this document: