AUC of Binomial GLM with Logit Link and Case Weights
f_logistic_auc_unbalanced.Rd
Fits a quasibinomial GLM model y ~ x
with case weights when y
is an unbalanced binary response with values 0 and 1 and x
is numeric. It uses the function case_weights()
to weight 0s and 1s according to their frequency within y
.
Arguments
- x
(required, character string) name of the predictor variable.
- y
(required, character string) name of the binary response variable.
- df
(required, data frame) data frame with the columns 'x' and 'y'.
Examples
data(vi)
#subset to limit example run time
vi <- vi[1:1000, ]
f_logistic_auc_unbalanced(
x = "growing_season_length", #predictor
y = "vi_binary", #binary response
df = vi
)
#> [1] 0.9367964