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.
| Version: | 0.2.0 |
| Depends: | R (≥ 3.5.0), numDeriv |
| Imports: | MASS, grDevices, graphics, stats, utils |
| Suggests: | testthat (≥ 3.0.0) |
| Published: | 2026-04-07 |
| DOI: | 10.32614/CRAN.package.nmw |
| Author: | Kyun-Seop Bae [aut, cre] |
| Maintainer: | Kyun-Seop Bae <k at acr.kr> |
| License: | GPL-3 |
| Copyright: | 2017-, Kyun-Seop Bae |
| URL: | https://cran.r-project.org/package=nmw |
| NeedsCompilation: | no |
| Materials: | NEWS |
| In views: | Pharmacokinetics |
| CRAN checks: | nmw results |
| Reference manual: | nmw.html , nmw.pdf |
| Package source: | nmw_0.2.0.tar.gz |
| Windows binaries: | r-devel: nmw_0.1.6.zip, r-release: nmw_0.1.6.zip, r-oldrel: nmw_0.1.6.zip |
| macOS binaries: | r-release (arm64): nmw_0.1.6.tgz, r-oldrel (arm64): nmw_0.1.6.tgz, r-release (x86_64): nmw_0.1.6.tgz, r-oldrel (x86_64): nmw_0.1.6.tgz |
| Old sources: | nmw archive |
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