update URLs and use paper link in DESCRIPTION

DESCRIPTION

@@ -32,7 +32,7 @@ Description: Provides a framework of tools to summarise, visualise, and explore
   group, and extending the facet system  in 'ggplot2' to facilitate exploration of samples of data. These methods are
   fully described in the paper "brolgar: An R package to Browse Over 
   Longitudinal Data Graphically and Analytically in R", Nicholas Tierney, 
-  Dianne Cook, Tania Prvan (2020) <arXiv:2012.01619>.
+  Dianne Cook, Tania Prvan (2020) <doi:10.32614/RJ-2022-023>.
 License: MIT + file LICENSE
 URL: https://github.com/njtierney/brolgar, https://brolgar.njtierney.com/
 BugReports: https://github.com/njtierney/brolgar/issues

README.Rmd

@@ -295,7 +295,7 @@ This version of brolgar was been forked from [tprvan/brolgar](https://github.com
 
 # Acknowledgements
 
-Thank you to [Mitchell O'Hara-Wild](https://blog.mitchelloharawild.com/) and [Earo Wang](https://earo.me/) for many useful discussions on the implementation of brolgar, as it was heavily inspired by the [`feasts`](https://github.com/tidyverts/feasts) package from the [`tidyverts`](https://tidyverts.org/). I would also like to thank [Tania Prvan](https://researchers.mq.edu.au/en/persons/tania-prvan) for her valuable early contributions to the project, as well as [Stuart Lee](https://stuartlee.org/) for helpful discussions. Thanks also to [Ursula Laa](https://uschilaa.github.io/) for her feedback on the package structure and documentation.
+Thank you to [Mitchell O'Hara-Wild](https://mitchelloharawild.com/blog.html) and [Earo Wang](https://earo.me/) for many useful discussions on the implementation of brolgar, as it was heavily inspired by the [`feasts`](https://github.com/tidyverts/feasts) package from the [`tidyverts`](https://tidyverts.org/). I would also like to thank [Tania Prvan](https://researchers.mq.edu.au/en/persons/tania-prvan) for her valuable early contributions to the project, as well as [Stuart Lee](https://stuartlee.org/) for helpful discussions. Thanks also to [Ursula Laa](https://uschilaa.github.io/) for her feedback on the package structure and documentation.
 
 <!-- These are referred to as a **longnostics**, a portmanteau of **long**itudinal and **cognostic**. These **longnostics** make it straightforward to extract subjects with certain properties to gain some insight into the data.  -->
 

README.md

@@ -387,8 +387,9 @@ breaking changes to the API.
 
 # Acknowledgements
 
-Thank you to [Mitchell O’Hara-Wild](https://blog.mitchelloharawild.com/)
-and [Earo Wang](https://earo.me/) for many useful discussions on the
+Thank you to [Mitchell
+O’Hara-Wild](https://mitchelloharawild.com/blog.html) and [Earo
+Wang](https://earo.me/) for many useful discussions on the
 implementation of brolgar, as it was heavily inspired by the
 [`feasts`](https://github.com/tidyverts/feasts) package from the
 [`tidyverts`](https://tidyverts.org/). I would also like to thank [Tania