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Understanding Nonlinear Mixed Effects Modeling for Population Pharmacokinetics

v0.3.1 · Jun 9, 2026 · GPL-3

Description

This shows how 'NONMEM' (Beal SL, Sheiner LB, Boeckmann AJ, Bauer RJ. NONMEM 7.5 Users Guides. Icon plc, 2020) software works. 'NONMEM' classical estimation methods such as 'First Order (FO) approximation', 'First Order Conditional Estimation (FOCE)', and 'Laplacian approximation' are explained. Functions are also provided for post-run processing of NONMEM output files, generating PDF diagnostic reports including objective function value analysis, parameter estimates, prediction and residual diagnostics, empirical Bayes estimate (EBE) analysis, input data summary, and individual pharmacokinetic parameter distributions. Helper utilities for building NONMEM-ready datasets from SDTM-style source tables are also included.

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OK 13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Jun 9, 2026
NOTE 12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Jun 8, 2026
NOTE r-devel-linux-x86_64-debian-gcc

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Maintainer: ‘Kyun-Seop Bae <k@acr.kr>’

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Dependency Network

Dependencies Reverse dependencies numDeriv MASS nmw

Version History

9 tracked
updated 0.3.1 ← 0.3.0 diff Jun 9, 2026
updated 0.3.0 ← 0.2.0 diff May 8, 2026
updated 0.2.0 ← 0.1.6 diff Apr 7, 2026
new 0.1.6 Mar 10, 2026
updated 0.1.6 ← 0.1.5 diff Mar 7, 2026
updated 0.1.5 ← 0.1.4 diff May 9, 2023
updated 0.1.4 ← 0.1.2 diff Apr 9, 2018
updated 0.1.2 ← 0.1.1 diff Oct 19, 2017
new 0.1.1 Mar 13, 2017