Fit a logistic regression function
Arguments
- formula
Model formula
- data
Data set
- ...
Other arguments passed to
glm()
Examples
mod <- lr_model(ae1 ~ aucss, lr_data)
mod
#>
#> Call: stats::glm(formula = formula, family = stats::binomial(link = "logit"),
#> data = data)
#>
#> Coefficients:
#> (Intercept) aucss
#> -1.791383 0.005497
#>
#> Degrees of Freedom: 299 Total (i.e. Null); 298 Residual
#> Null Deviance: 402.1
#> Residual Deviance: 193.4 AIC: 197.4