removed \dontrun{}

CRAN-SUBMISSION

@@ -1,4 +1,3 @@
 Version: 0.1.0
-Date: 2023-11-03 10:00:15 UTC
-SHA:
-    a44b5d932c77a32db3712a253e119a2b83e91037
+Date: 2023-11-06 09:44:14 UTC
+SHA: ca13b89b3b2a93813176088ef40374eba78aac7d

NAMESPACE

@@ -8,6 +8,7 @@ S3method(predict,aedseo)
 S3method(summary,aedseo)
 export("%>%")
 export(aedseo)
+export(autoplot)
 export(fit_growth_rate)
 export(tsd)
 importFrom(ggplot2,autoplot)

R/autoplot.R

@@ -18,7 +18,6 @@
 #' @aliases autoplot
 #'
 #' @examples
-#' \dontrun{
 #' # Create an example aedseo_tsd object
 #' aedseo_tsd_object <- tsd(
 #'   observed = c(100, 120, 150, 180, 220, 270),
@@ -46,9 +45,13 @@
 #'
 #' # Create a ggplot visualization of growth rates with confidence intervals
 #' autoplot(aedseo_object, linewidth = 1, alpha = 0.2)
-#' }
 #' @importFrom ggplot2 autoplot
 #' @rdname autoplot
+#' @export
+autoplot <- function (object, ...) {
+  UseMethod("autoplot")
+}
+#' @rdname autoplot
 #' @method autoplot aedseo_tsd
 #' @export
 autoplot.aedseo_tsd <- function(object, ...) {

cran-comments.md

@@ -12,11 +12,9 @@ The package has been tested on multiple platforms and no errors or warnings were
 
 ## Reviewer Feedback
 
-Thank you for the feedback, and we've addressed the issues mentioned:
+We have addressed the feedback from the previous review. Specifically:
 
-1. **References**: We've added references to the methods used in our package in the DESCRIPTION file in the required format: authors (year) <doi:...>. Note that this is a novel method for the detection of seasonal epidemic onsets and that there are currently no references available.
-
-2. **Commented Code in Examples**: We've removed commented code lines in examples and have made sure that the examples can be executed without issues.
+1. **Removal of \dontrun{}**: We have removed the `\dontrun{}` wrappers in the examples as we confirmed that the examples run in less than 5 seconds. 
 
 ## Abbreviations