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Understanding Nonlinear Mixed Effects Modeling for Population Pharmacokinetics

This shows how NONMEM(R) software works. NONMEM's classical estimation methods like 'First Order(FO) approximation', 'First Order Conditional Estimation(FOCE)', and 'Laplacian approximation' are explained. Additionally, provides functions for post-run processing of NONMEM output files, generating comprehensive PDF diagnostic reports including objective function value analysis, parameter estimates, prediction diagnostics, residual diagnostics, empirical Bayes estimate (EBE) analysis, input data summary, and individual pharmacokinetic parameter distributions.

Versions across snapshots

VersionRepositoryFileSize
0.2.0 rolling linux/jammy R-4.5 nmw_0.2.0.tar.gz 455.9 KiB
0.2.0 rolling linux/noble R-4.5 nmw_0.2.0.tar.gz 456.0 KiB
0.2.0 rolling source/ R- nmw_0.2.0.tar.gz 168.0 KiB
0.2.0 latest linux/jammy R-4.5 nmw_0.2.0.tar.gz 455.9 KiB
0.2.0 latest linux/noble R-4.5 nmw_0.2.0.tar.gz 456.0 KiB
0.2.0 latest source/ R- nmw_0.2.0.tar.gz 168.0 KiB
0.2.0 2026-04-26 source/ R- nmw_0.2.0.tar.gz 168.0 KiB
0.2.0 2026-04-23 source/ R- nmw_0.2.0.tar.gz 168.0 KiB
0.2.0 2026-04-09 windows/windows R-4.5 nmw_0.2.0.zip 464.4 KiB
0.1.5 2025-04-20 source/ R- nmw_0.1.5.tar.gz 178.8 KiB

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