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Fit a logistic regression function

Usage

lr_model(formula, data, ...)

Arguments

formula

Model formula

data

Data set

...

Other arguments passed to glm()

Value

A glm object

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