[docs] Details to performance_roc()

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

@@ -46,6 +46,7 @@
 #'
 #' 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)
@@ -66,7 +67,7 @@
 
   object_names <- c(
     insight::safe_deparse_symbol(substitute(x)),
     sapply(match.call(expand.dots = FALSE)$`...`, insight::safe_deparse)
   )
 
   if (insight::is_model(x)) {
@@ -122,6 +123,21 @@
 }
 
 
+#' @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 ---------------------------
 
@@ -181,5 +197,5 @@
   if (inherits(x, "model_fit")) {
     x <- x$fit
   }
-  inherits(x, c("glm", "glmerMod", "logitor", "logitmfx", "probitmfx"))
+  inherits(x, c("glm", "glmerMod", "logitor", "logitmfx", "probitmfx", "glmmTMB"))
 }