
Software 
The uppsala pharmacometrics groups is involved in creating software that can be used for building and using population pharmacometric models. All of our software is freely available (freeware). 


PerlspeaksNONMEM (PsN)is a collection of Perl modules and programs aiding in the development of nonlinear mixed effect models using NONMEM. The functionality ranges from simpler tasks such as parameter estimate extraction from output files, data file sub setting and resampling, to advanced computerintensive statistical methods. PsN includes both standalone tools as well as development libraries for method developers. PsN is freely available at psn.sf.net. 



Xpose is a model building aid for population analysis using NONMEM. Xpose produces various plots and analyses to facilitate data set checkout, goodnessoffit analysis, model exploration and visualization, model diagnostics, candidate covariate identification and model comparison. Xpose 4 is written in the programming language R with a modular and object oriented design and allows for integration into nearly any model building platform. New functionality in Xpose 4 allows the user to create simulation based reference diagnostics, create visual and numerical predictive check plots, compute the conditional weighted residuals and modify standard Xpose graphics to create publication quality figures. Xpose 4 also makes use of the new features in NONMEM VI including the visualization of nonparametric parameter distributions and individual objective function contributions. Xpose is freely available at xpose.sf.net. 


PopED 2

PopED (Population Experimental Design) is a software tool for computing optimal experimental designs. The software has been developed with an emphasis on drug trials based on population models (nonlinear mixed effects models).
PopED 2.x is based on Matlab scripts and, for Windows users, a Graphical User Interface (GUI) is available. The PopED GUI is a Windows based program written in the language C# .NET 2.0 that will wrap around the script version of PopED (written in Matlab) that performs the calculations needed to get an optimal design. The purpose of the GUI is to get an easy way to build up an experiment and to optimize the design variables in that experiment and to minimize the skills needed by the user in terms of programming. There are also tools available for interpretation of the outcome of the optimal design and ways to validate models and simulate models prior to the optimal design. All these tools are accessible via the script version of PopED as well. The PopED GUI also provides model templates and examples that will help the user to set up their own experiments. Some knowledge in the Matlab language might be useful but the model templates should give a good introduction to defining PopED models in Matlab. PopED is freely available at poped.sf.net. 

