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The NONMEM Project at the University of California, San Francisco, which produced the UCSF NONMEM software, is concerned with the development of data analysis techniques and exportable software for fitting nonlinear mixed effects (statistical regression-type) models. These techniques are particularly useful when the data are population pharmacokinetic/pharmacodynamic data, and when there are only a few PK/PD measurements from some individuals sampled from the population, or when the regression design varies considerably between individuals. However, increasingly, the techniques are also being used advantageously with better-designed experimental type data.
To run this software interactively in a Linux environment run the commands:
module load nonmem cp /usr/local/nonmem/VI/CONTROL5 cp /usr/local/nonmem/VI/THEOPP nmfe6 CONTROL5 REPORT5