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(This article was first published on <strong><a href="http://gianlubaio.blogspot.com/2017/11/cea.html"> Gianluca Baio's blog</a></strong>, and kindly contributed to <a rel="nofollow" href="https://www.r-bloggers.com/">R-bloggers)</a> </div>
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<p><span>Recently, I’ve been doing a lot of work on the beta version of <a rel="nofollow" href="http://www.statistica.it/gianluca/BCEA" target="_blank">BCEA</a> (I was after all born in Agrigento $-$ in the picture to the left $-$, which is a Greek city, so a beta version sounds about right…). </span><br><span><br></span><span>The new version is only available as a beta-release from our <a rel="nofollow" href="https://github.com/giabaio/BCEA" target="_blank">GitHub repository</a> – usual ways to install it are through the <a rel="nofollow" href="https://cran.r-project.org/web/packages/devtools/index.html" target="_blank">devtools</a> package.</span><br><span><br></span><span>There aren’t very many changes from the <a rel="nofollow" href="https://cran.r-project.org/web/packages/BCEA/" target="_blank">current CRAN version</a>, although the one thing I did change is kind of big. In fact, I’ve embedded the <a rel="nofollow" href="https://egon.stats.ucl.ac.uk/projects/BCEAweb/" target="_blank">web-app</a> functionalities within the package. So, it is now possible to launch the web-app from the current R session using the new function </span><span>BCEAweb</span><span>. This takes as arguments three inputs: a matrix </span><span>e</span><span> containing $S$ simulations for the measures of effectiveness computed for the $T$ interventions; a matrix </span><span>c</span><span> containing the simulations for the measures of costs; and a data frame or matrix containing simulations for the model parameters. </span><br><span><br></span><span>In fact, none of the inputs is required and the user can actually launch an empty web-app, in which the inputs can be uploaded, say, from a spreadsheet (there are in fact other formats available).</span><br><span><br></span><span>I think the web-app facility is not <i>necessary</i> when you’ve gone through the trouble of actually installing the R package and you’re obviously using it from R. But it’s helpful, nonetheless, for example in terms of producing some standard output (perhaps even more than the actual package $-$ which I think is more flexible) and of reporting, with the cool facility based on <a rel="nofollow" href="https://pandoc.org/" target="_blank">pandoc</a>.</span><br><span><br></span><span>This means there are a few more packages “suggested” on installation and potentially a longer compilation time for the package $-$ but nothing major. The new version is under testing but I may be able to release it on CRAN soon-ish… And there are other cool things we’re playing around (the links <a rel="nofollow" href="https://github.com/giabaio/" target="_blank">here</a> give all the details!).</span></p>
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