[Sensitivity-commits] r12 - www

noreply at r-forge.r-project.org noreply at r-forge.r-project.org
Mon Jul 21 14:36:03 CEST 2008


Author: pujol
Date: 2008-07-21 14:36:03 +0200 (Mon, 21 Jul 2008)
New Revision: 12

Modified:
   www/index.php
Log:
updated homepage


Modified: www/index.php
===================================================================
--- www/index.php	2008-07-21 10:32:44 UTC (rev 11)
+++ www/index.php	2008-07-21 12:36:03 UTC (rev 12)
@@ -45,15 +45,15 @@
 
 <hr>
 
-<p> This page is the package "sensitivity" project homepage. If you're looking for the latest stable release, please check out the page on CRAN <a href="http://cran.r-project.org/web/packages/sensitivity/index.html">here</a>. </p>
+<p> This page is the package 'sensitivity' project homepage. If you're looking for the latest stable release, please check out the page on CRAN <a href="http://cran.r-project.org/web/packages/sensitivity/index.html">here</a>. </p>
 
 <p> The <strong>project summary page</strong> you can find <a href="http://<?php echo $domain; ?>/projects/<?php echo $group_name; ?>/">here</a>. </p>
 
 <p> Stay informed with the <strong>news page</strong> <a href="http://<?php echo $domain; ?>/news/?group_id=210">here</a>. </p>
 
-<p> Developers interested in contribute are welcome to <strong>join the project</strong>. <a href="https://<?php echo $domain; ?>/project/request.php?group_id=210"><strong>Request to join</strong></a>. </p>
+<p> Developers interested in contribute are welcome to <strong>join the project</strong>. <a href="https://<?php echo $domain; ?>/project/request.php?group_id=210">[Request to join]</a> </p>
 
-<p> If you like the package "sensitivity", you may also be interested in the following R packages:
+<p> If you like the package 'sensitivity', you may also be interested in the following R packages:
 <ul>
 <li><a href="http://cran.r-project.org/web/packages/mlegp/index.html">mlegp</a>: Maximum likelihood Gaussian process modeling for univariate and multi-dimensional outputs with diagnostic plots and sensitivity analysis. </li>
 <li>CompModSA: Sensitivity Analysis for Complex Computer Models (dowload it from <a href="http://www.stat.unm.edu/~storlie/">this page</a>). </li>



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