tag:crantastic.org,2005:/authors/4514Latest activity for Erik Peter2019-03-24T12:41:17Zcrantastic.orgtag:crantastic.org,2005:TimelineEvent/864862019-03-24T12:41:17Z2019-03-24T12:41:17Zfbroc was upgraded to version 0.4.1<a href="/packages/fbroc">fbroc</a> was <span class="action">upgraded</span> to version <a href="/packages/fbroc/versions/82218">0.4.1</a><br /><h3>Package description:</h3><p>Implements a very fast C++ algorithm to quickly bootstrap receiver operating characteristics (ROC) curves and derived performance metrics, including the area under the curve (AUC) and the partial area under the curve as well as the true and false positive rate. The analysis of paired receiver operating curves is supported as well, so that a comparison of two predictors is possible. You can also plot the results and calculate confidence intervals. On a typical desktop computer the time needed for the calculation of 100000 bootstrap replicates given 500 observations requires time on the order of magnitude of one second.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/522332016-06-21T21:00:40Z2016-06-21T21:00:40Zfbroc was upgraded to version 0.4.0<a href="/packages/fbroc">fbroc</a> was <span class="action">upgraded</span> to version <a href="/packages/fbroc/versions/50453">0.4.0</a><br /><h3>Package description:</h3><p>Implements a very fast C++ algorithm to quickly bootstrap receiver operating characteristics (ROC) curves and derived performance metrics, including the area under the curve (AUC) and the partial area under the curve as well as the true and false positive rate. The analysis of paired receiver operating curves is supported as well, so that a comparison of two predictors is possible. You can also plot the results and calculate confidence intervals. On a typical desktop computer the time needed for the calculation of 100000 bootstrap replicates given 500 observations requires time on the order of magnitude of one second.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/443512015-10-12T19:11:03Z2015-10-12T19:11:03Zfbroc was upgraded to version 0.3.1<a href="/packages/fbroc">fbroc</a> was <span class="action">upgraded</span> to version <a href="/packages/fbroc/versions/44143">0.3.1</a><br /><h3>Package description:</h3><p>Implements a very fast C++ algorithm to quickly bootstrap receiver operating characteristics (ROC) curves and derived performance metrics, including the area under the curve (AUC) as well as the true and false positive rate. The analysis of paired receiver operating curves is supported as well, so that a comparison of two predictors is possible. You can also plot the results and calculate confidence intervals. Currently the calculation of 100000 bootstrap replicates for 500 observations takes about one second.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/442492015-10-08T18:31:02Z2015-10-08T18:31:02Zfbroc was upgraded to version 0.3.0<a href="/packages/fbroc">fbroc</a> was <span class="action">upgraded</span> to version <a href="/packages/fbroc/versions/44041">0.3.0</a><br /><h3>Package description:</h3><p>Implements a very fast C++ algorithm to quickly bootstrap receiver operating characteristics (ROC) curves and derived performance metrics, including the area under the curve (AUC) as well as the true and false positive rate. The analysis of paired receiver operating curves is supported as well, so that a comparison of two predictors is possible. You can also plot the results and calculate confidence intervals. Currently the calculation of 100000 bootstrap replicates for 500 observations takes about one second.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/412392015-06-07T06:10:54Z2015-06-07T06:10:54Zfbroc was upgraded to version 0.2.1<a href="/packages/fbroc">fbroc</a> was <span class="action">upgraded</span> to version <a href="/packages/fbroc/versions/41039">0.2.1</a><br /><h3>Package description:</h3><p>Implements a very fast C++ algorithm to quickly bootstrap receiver operating characteristics (ROC) curves and derived performance metrics, including the area under the curve (AUC) as well as the true and false positive rate. You can also plot the results and calculate confidence intervals. Currently the calculation of 100000 bootstrap replicates for 500 observations takes about one second.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/412182015-06-05T23:50:55Z2015-06-05T23:50:55Zfbroc was upgraded to version 0.2.0<a href="/packages/fbroc">fbroc</a> was <span class="action">upgraded</span> to version <a href="/packages/fbroc/versions/41018">0.2.0</a><br /><h3>Package description:</h3><p>Implements a very fast C++ algorithm to quickly bootstrap receiver operating characteristics (ROC) curves and derived performance metrics, including the area under the curve (AUC) as well as the true and false positive rate. You can also plot the results and calculate confidence intervals. Currently the calculation of 100000 bootstrap replicates for 500 observations takes about one second.</p>crantastic.orgtag:crantastic.org,2005:TimelineEvent/406042015-05-05T16:11:02Z2015-05-05T16:11:02Zfbroc was released<a href="/packages/fbroc">fbroc</a> was <span class="action">released</span><br /><h3>Package description:</h3><p>Implements a very fast C++ algorithm to quickly bootstrap receiver operating characteristics (ROC) curves and derived performance metrics, including the area under the curve (AUC) and the partial area under the curve as well as the true and false positive rate. The analysis of paired receiver operating curves is supported as well, so that a comparison of two predictors is possible. You can also plot the results and calculate confidence intervals. On a typical desktop computer the time needed for the calculation of 100000 bootstrap replicates given 500 observations requires time on the order of magnitude of one second.</p>crantastic.org