Package: nmw
Version: 0.3.1
Date: 2026-06-09
Title: Understanding Nonlinear Mixed Effects Modeling for Population
        Pharmacokinetics
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.
Depends: R (>= 3.5.0), numDeriv
Imports: MASS, grDevices, graphics, stats, utils
ByteCompile: yes
License: GPL-3
Copyright: 2017-, Kyun-Seop Bae
Author: Kyun-Seop Bae [aut, cre]
Maintainer: Kyun-Seop Bae <k@acr.kr>
Authors@R: person(given = "Kyun-Seop",
                  family = "Bae",
                  role = c("aut", "cre"),
                  email = "k@acr.kr")
URL: https://cran.r-project.org/package=nmw
Contact: Kyun-Seop Bae <k@acr.kr>
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
Encoding: UTF-8
NeedsCompilation: no
RoxygenNote: 7.3.3
Packaged: 2026-07-09 10:06:21 UTC; root
Repository: https://cran.r-universe.dev
Date/Publication: 2026-06-09 08:44:29 UTC
RemoteUrl: https://github.com/cran/nmw
RemoteRef: HEAD
RemoteSha: 03210439395741b28202ff3d1c323d7ed26e3fdd