The function estimates a logistic regression model with the Maximum-Likelihood Method.
Formula-object of the desired independent and dependent variables: formula.object <- as.formula("y ~ x1 + x2 + ... xn").
Data frame which contains the variables specified in the formula-object.
Estimates a logistic regression for a binary independent variable where the data generating process can be described with a Bernoulli-distribution. Parameters are maximised with the Maximum-Likelihood-Method using a Quasi-Newton-Algorithm.
Output are the coefficient estimates of a logistic regression and its respective standard errors.
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