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Generalized linear models are fit using the glm function in R. We specify that the distribution is binomial. The default link function in glm for a binomial outcome variable is the logit. Logistic regression is useful when you are predicting a binary outcome from a set of continuous predictor variables. Note that I didn't use continuous predictor variables in the example, oops.
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