fixes to pass CRAN pre-checks

Author: mdancho84

CRAN-SUBMISSION

@@ -1,3 +1,3 @@
-Version: 2.8.4
-Date: 2023-09-12 13:24:04 UTC
-SHA: 8896cd71672eae3ebbd4119bc9c38b159323f4d4
+Version: 2.9.1
+Date: 2025-08-28 14:41:28 UTC
+SHA: da5945898469f749bb99947fb8f8be196a1d1c4c

R/data-m4_daily.R

@@ -14,7 +14,7 @@
 #' - `value` Numeric. Value at the corresponding timestamp.
 #'
 #' @source
-#' - [M4 Competition Website](https://mofc.unic.ac.cy/m4/)
+#' - [M4 Competition Website](https://www.unic.ac.cy/iff/research/forecasting/m-competitions/m4/)
 #'
 #' @examples
 #' m4_daily

R/data-m4_hourly.R

@@ -14,7 +14,7 @@
 #' - `value` Numeric. Value at the corresponding timestamp.
 #'
 #' @source
-#' - [M4 Competition Website](https://mofc.unic.ac.cy/m4/)
+#' - [M4 Competition Website](https://www.unic.ac.cy/iff/research/forecasting/m-competitions/m4/)
 #'
 #' @examples
 #' m4_hourly

R/data-m4_monthly.R

@@ -14,7 +14,7 @@
 #' - `value` Numeric. Value at the corresponding timestamp.
 #'
 #' @source
-#' - [M4 Competition Website](https://mofc.unic.ac.cy/m4/)
+#' - [M4 Competition Website](https://www.unic.ac.cy/iff/research/forecasting/m-competitions/m4/)
 #'
 #' @examples
 #' m4_monthly

R/data-m4_quarterly.R

@@ -14,7 +14,7 @@
 #' - `value` Numeric. Value at the corresponding timestamp.
 #'
 #' @source
-#' - [M4 Competition Website](https://mofc.unic.ac.cy/m4/)
+#' - [M4 Competition Website](https://www.unic.ac.cy/iff/research/forecasting/m-competitions/m4/)
 #'
 #' @examples
 #' m4_quarterly

R/data-m4_weekly.R

@@ -15,7 +15,7 @@
 #' - `value` Numeric. Value at the corresponding timestamp.
 #'
 #' @source
-#' - [M4 Competition Website](https://mofc.unic.ac.cy/m4/)
+#' - [M4 Competition Website](https://www.unic.ac.cy/iff/research/forecasting/m-competitions/m4/)
 #'
 #' @examples
 #' m4_weekly

R/data-m4_yearly.R

@@ -14,7 +14,7 @@
 #' - `value` Numeric. Value at the corresponding timestamp.
 #'
 #' @source
-#' - [M4 Competition Website](https://mofc.unic.ac.cy/m4/)
+#' - [M4 Competition Website](https://www.unic.ac.cy/iff/research/forecasting/m-competitions/m4/)
 #'
 #' @examples
 #'

README.Rmd

@@ -156,7 +156,7 @@ Become the Time Series Expert for your organization.
 
 The `timetk` package wouldn't be possible without other amazing time series packages. 
 
-* [stats](https://rdrr.io/r/stats/stats-package.html) - Basically every `timetk` function that uses a period (frequency) argument owes it to `ts()`. 
+* `stats` - Basically every `timetk` function that uses a period (frequency) argument owes it to `ts()`. 
     - `plot_acf_diagnostics()`: Leverages `stats::acf()`, `stats::pacf()` & `stats::ccf()`
     - `plot_stl_diagnostics()`: Leverages `stats::stl()`
 * [lubridate](https://lubridate.tidyverse.org/): `timetk` makes heavy use of `floor_date()`, `ceiling_date()`, and `duration()` for "time-based phrases".