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.
0.5.0 (2020-09-04)
Many bugfixes and improvements to NONMEM code record parser
Add calculation of symbolic and numeric eta and eps gradients, population and individulal prediction and wres for PRED models
Add option to use comments in NONMEM parameter records as names for parameters
Reading of ODE systems from NONMEM non-$DES models
Calculation of compartmental matrix and ODE system
New module ‘modeling’
Function in modeling and CLI to change ADVAN implicit compartmental models to explicit $DES
Function in modeling and CLI to add covariate effects
Functions for reading cdd and scm results from PsN runs
Many API updates
Extended CLI documentation
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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