Although PoPy is well-suited to academic and educational use, we know that there may not be a dataset to hand that illustrates a particular PKPD feature.
PoPy, however, makes it easy to generate artificial data from a model of your design, including dosing regimens and sampling schemes, using a variety of statistical models for error and variability. You can then use these simulated datasets, from known underlying parameters, to explore the properties of your model and the performance of different fitting methods.
Fitting to synthetic data for exploration is especially easy using PoPy’s tutorial format where all parameters of the modelling processing can be put into a single control file.