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 <p>This workflow measures code coverage for unit tests and reports the code coverage as a percentage of the <em>total number of lines covered by unit tests</em> vs.&nbsp;the <em>total number of lines in the codebase</em> in an R package.</p>
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-<p>For information on how to add testing to R packages, <a href="https://r-pkgs.org/testing-basics.html">R-pkgs.org</a> covers setting up tests with test that.</p>
+<p>For information on how to add testing to R packages, <a href="https://r-pkgs.org/testing-basics.html">R-pkgs.org</a> covers setting up tests with <code>testthat</code>.</p>
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-<p>This PHUSE working group is initially focussed on ensuring R package authors can easily add CICD to pharmaverse R packages and related biostatistical packages.</p>
-<p>Our aim is not to re-invent the wheel. We hope to both convince package developers of the value of CICD, provide a minimum bar of what is expected, and provide a set of tools to make it easy to implement.</p>
+<p>This PHUSE working group is focussed on ensuring R package authors new to concepts like CICD can can easily add these useful automations to pharmaverse R packages and related biostatistical packages.</p>
+<p>We hope to both convince package developers of the value of CICD, provide a minimum bar of what is expected, and provide a set of tools to make it easy to implement.</p>
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