Pharmacometric modelling
Project description
Pharmpy is a library for pharmacometrics. It can be used as a regular python package, in R via reticulate or via its built in command line interface.
Pharmpy is architectured to be able to handle different types of model formats and data formats and exposes a model agnostic API.
Current features:
Parsing of many parts of a NONMEM model file
Parsing of NONMEM result files
CLI supporting dataset filtering, resampling, anonymization and viewing
Pharmpy is developed by the Uppsala University Pharmacometrics group.
0.4.0 (2020-07-24)
Add categorical covariates to covariate effects plot in FREM
Better support for reading NONMEM code statements (PK and PRED)
Support for updating NONMEM code statements (PK and PRED)
Bugfixes for CLI
0.3.0 (2020-06-16)
New CLI command ‘data append’
Parameter names is now the index in Parameters.summary()
FREM postprocessing
Standardized results.yaml and results.csv
0.2.0 (2020-03-27)
First release
0.1.0 (2018-07-22)
Initial library development/testing directory structure.
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