pharmpy-core 0.4.0

Pharmacometric modelling

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.