Dear list,<div><br></div><div>I'd like to announce our new R-package orQA (<a href="http://cran.r-project.org/web/packages/orQA/index.html">http://cran.r-project.org/web/packages/orQA/index.html</a>) to you. orQA provides order restricted methods for testing and estimation in high dimensional data for which an order restriction can be assumed. In particular our methods aim at microarray titration experiments (a certain form of benchmark setup). Such experiments aim at creating measurements that should follow a monotonic trend which can be tested and used to improve estimates of certain variance components.</div>
<div><br></div><div>The package accompanies our upcoming article which is currently under review. </div><div><br></div><div>We use Rcpp very basically to move looping over the large number of dimensions in the measurements to C which speeds up computation by several orders of magnitude. </div>
<div><br></div><div>At this point I'd like to thank Romain and Dirk once again for their fantastic support in moving our code to the new API.</div><div><br></div><div>regards</div><div>florian</div>