add as.numeric method

NAMESPACE

@@ -26,6 +26,7 @@ S3method(as.data.frame,r2_bayes)
 S3method(as.data.frame,r2_loo)
 S3method(as.data.frame,r2_nakagawa)
 S3method(as.numeric,check_outliers)
+S3method(as.numeric,performance_roc)
 S3method(check_autocorrelation,default)
 S3method(check_collinearity,BFBayesFactor)
 S3method(check_collinearity,MixMod)

R/performance_roc.R

@@ -42,6 +42,7 @@
 #'
 #' model <- glm(y ~ Sepal.Length + Sepal.Width, data = train_data, family = "binomial")
 #' as.data.frame(performance_roc(model, new_data = test_data))
+#' as.numeric(performance_roc(model))
 #'
 #' roc <- performance_roc(model, new_data = test_data)
 #' area_under_curve(roc$Specificity, roc$Sensitivity)
@@ -118,6 +119,21 @@ print.performance_roc <- function(x, ...) {
 }
 
 
+#' @export
+as.numeric.performance_roc <- function(x, ...) {
+  if (length(unique(x$Model)) == 1) {
+    auc <- bayestestR::area_under_curve(x$Specificity, x$Sensitivity)
+  } else {
+    dat <- split(x, f = x$Model)
+
+    auc <- c()
+    for (i in seq_along(dat)) {
+      auc <- c(auc, bayestestR::area_under_curve(dat[[i]]$Specificity, dat[[i]]$Sensitivity))
+    }
+  }
+  auc
+}
+
 
 # utilities ---------------------------