Meet PoPy

PoPy is a high-level Python based PK/PD Modelling framework that encourages rapid development of PK/PD models.

Powerful.: PoPy provides dosing functions and numerous statistical distributions, combined with Python syntax to design any PK/PD model.
Elegant Syntax.: PoPy syntax makes PK/PD models faster to develop and less likely to contain errors, saving you time.
Flexible.: PoPy modelling language can easily model both categorical and continuous clinical data, either separately or simultaneously.

More Features

PK/PD dosing functions to easily implement complex models such as multiple time Weibull or Gamma dosing.
In built support for hierarchical modelling, e.g. inter-subject + inter-occasion random effects
Generate new data sets from scratch using a single text file.
Automatic graphical output.
Easy conversion to other tools using standard output file formats e.g. .csv file.
Well documented.
Active development.
Free for academic and educational use.

To try out PoPy online, visit the PoPy demo site.

For more information see the PoPy intro site.

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