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is a collection of Gauss procedures which could be helpful in the statistical analysis of designed experiments, with special reference to clinical trials. This library, which you can download as a zipped file by clicking on Homer to the left, contains a number of Gauss procs ranging from basic datahandling procedures, to simple statistics (like t-test) to much more sofisticated methods. Its flag-ship (I think, at least) are a set of procs by which you can analyse complicated stuff like nonlinear mixed effects models, including estimate confidence limits from likelihood surface or by bootstrapping (if you are patient enough). Any contributions that can enhance the value of this site, whether in content or in appearance, would be much appreaciated. This code is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. You are free to download and use the content of this library for any public, non-commercial purposes without warranty. All usage of this code is on the users own full responsibility . |
Special Notes In a new attempt for documentation I am trying the following:
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