lstparsR: Tidy Parsing of NONMEM Listing Files for Population PK/PD Workflows

Provides functions to read, clean, and reshape NONMEM listing (.lst) files into tidy data frames for downstream population pharmacokinetic and pharmacodynamic (PK/PD) analyses. Parsers extract THETA, OMEGA, SIGMA, objective function value (OFV), condition number, and shrinkage values from NONMEM output files. Both runs with and without a covariance step are handled gracefully, returning NA for unavailable quantities rather than raising errors.

See also

Useful links:

• https://github.com/Clinical-Pharmacy-Saarland-University/lstparsR

• Report bugs at https://github.com/Clinical-Pharmacy-Saarland-University/lstparsR/issues

Author

Maintainer: Raban Heller raban.heller@uni-ulm.de

Authors:

• Simeon Rüdesheim simeon.ruedesheim@uni-saarland.de

• Dominik Selzer dominik.selzer@uni-saarland.de