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).
Perl-speaks-NONMEM (PsN)is a collection of Perl modules and programs aiding in the development of non-linear 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 computer-intensive statistical methods. PsN includes both stand-alone 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,
goodness-of-fit 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 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 (non-linear mixed effects models).
PopED is
freely available at andrewhooker.github.io/PopED/.