Standard glm accessors for logistic_regression results — logistic

coef(), residuals(), fitted() and vcov() dispatch to the glm methods for an ungrouped model; a grouped result raises an informative error (each element of $groups is a fitted model). nobs() returns the number of cases, or for a weighted model the unrounded sum of the frequency weights (SPSS N, shown rounded in the summary).

Usage

# S3 method for class 'logistic_regression'
coef(object, ...)

# S3 method for class 'logistic_regression'
residuals(object, ...)

# S3 method for class 'logistic_regression'
fitted(object, ...)

# S3 method for class 'logistic_regression'
vcov(object, ...)

# S3 method for class 'logistic_regression'
nobs(object, ...)

Arguments

object: A logistic_regression result.
...: Passed to the glm methods.

Value

As the corresponding glm method.