Update URLs

R/croston.R

@@ -61,7 +61,7 @@
 #'
 #' Kourentzes, N. (2014) "On intermittent demand model optimisation and
 #' selection". \emph{International Journal of Production Economics}, \bold{156},
-#' 180-190. \url{http://dx.doi.org/10.1016/j.ijpe.2014.06.007}.
+#' 180-190. \doi{10.1016/j.ijpe.2014.06.007}.
 #'
 #' @examples
 #' library(tsibble)

README.Rmd

@@ -18,7 +18,7 @@ knitr::opts_chunk$set(
 ![R build status](https://github.com/tidyverts/fable/workflows/R-CMD-check/badge.svg)
 [![Coverage status](https://codecov.io/gh/tidyverts/fable/branch/master/graph/badge.svg)](https://codecov.io/github/tidyverts/fable?branch=master)
 [![CRAN_Status_Badge](http://www.r-pkg.org/badges/version/fable)](https://cran.r-project.org/package=fable)
-[![Lifecycle: maturing](https://img.shields.io/badge/lifecycle-maturing-blue.svg)](https://www.tidyverse.org/lifecycle/#maturing)
+[![Lifecycle: maturing](https://img.shields.io/badge/lifecycle-maturing-blue.svg)](https://lifecycle.r-lib.org/articles/stages.html)
 <!-- badges: end -->
 
 The R package *fable* provides a collection of commonly used univariate and multivariate time series forecasting models including exponential smoothing via state space models and automatic ARIMA modelling. These models work within the fable framework, which provides the tools to evaluate, visualise, and combine models in a workflow consistent with the tidyverse.
@@ -65,12 +65,12 @@ aus_retail %>%
 
 ## Learning to forecast with fable
 
-- The pkgdown site describes all models provided by fable, and how they are used: http://fable.tidyverts.org/
+- The pkgdown site describes all models provided by fable, and how they are used: https://fable.tidyverts.org/
 - The forecasting principles and practices online textbook provides an introduction to time series forecasting using fable: https://otexts.com/fpp3/ (WIP)
 <!-- - A quick start functionality guide can be found here: https://tidyverts.github.io/tidy-forecasting-principles/ (WIP) -->
 
 ## Getting help
 
-- Questions about forecasting can be asked on [Cross Validated](http://stats.stackexchange.com/tags/forecasting).
+- Questions about forecasting can be asked on [Cross Validated](https://stats.stackexchange.com/tags/forecasting).
 
-- Common questions about the fable package are often found on [Stack Overflow](http://stackoverflow.com/tags/fable+r). You can use this to ask for help if the question isn't already answered. A [minimally reproducible example](https://www.tidyverse.org/help/) that describes your issue is the best way to ask for help!
+- Common questions about the fable package are often found on [Stack Overflow](https://stackoverflow.com/tags/fable+r). You can use this to ask for help if the question isn't already answered. A [minimally reproducible example](https://www.tidyverse.org/help/) that describes your issue is the best way to ask for help!

README.md

@@ -11,7 +11,7 @@ status](https://github.com/tidyverts/fable/workflows/R-CMD-check/badge.svg)
 status](https://codecov.io/gh/tidyverts/fable/branch/master/graph/badge.svg)](https://codecov.io/github/tidyverts/fable?branch=master)
 [![CRAN\_Status\_Badge](http://www.r-pkg.org/badges/version/fable)](https://cran.r-project.org/package=fable)
 [![Lifecycle:
-maturing](https://img.shields.io/badge/lifecycle-maturing-blue.svg)](https://www.tidyverse.org/lifecycle/#maturing)
+maturing](https://img.shields.io/badge/lifecycle-maturing-blue.svg)](https://lifecycle.r-lib.org/articles/stages.html)
 <!-- badges: end -->
 
 The R package *fable* provides a collection of commonly used univariate
@@ -66,20 +66,20 @@ aus_retail %>%
 
 ## Learning to forecast with fable
 
-  - The pkgdown site describes all models provided by fable, and how
-    they are used: <http://fable.tidyverts.org/>
-  - The forecasting principles and practices online textbook provides an
+-   The pkgdown site describes all models provided by fable, and how
+    they are used: <https://fable.tidyverts.org/>
+-   The forecasting principles and practices online textbook provides an
     introduction to time series forecasting using fable:
     <https://otexts.com/fpp3/> (WIP)
     <!-- - A quick start functionality guide can be found here: https://tidyverts.github.io/tidy-forecasting-principles/ (WIP) -->
 
 ## Getting help
 
-  - Questions about forecasting can be asked on [Cross
-    Validated](http://stats.stackexchange.com/tags/forecasting).
+-   Questions about forecasting can be asked on [Cross
+    Validated](https://stats.stackexchange.com/tags/forecasting).
 
-  - Common questions about the fable package are often found on [Stack
-    Overflow](http://stackoverflow.com/tags/fable+r). You can use this
+-   Common questions about the fable package are often found on [Stack
+    Overflow](https://stackoverflow.com/tags/fable+r). You can use this
     to ask for help if the question isn’t already answered. A [minimally
     reproducible example](https://www.tidyverse.org/help/) that
-    describes your issue is the best way to ask for help\!
+    describes your issue is the best way to ask for help!