Package: nmw
Version: 0.2.0
Title: Understanding Nonlinear Mixed Effects Modeling for Population
        Pharmacokinetics
Description: 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.
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
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
Encoding: UTF-8
NeedsCompilation: no
RoxygenNote: 7.3.3
Packaged: 2026-03-15 02:57:29 UTC; Kyun-SeopBae
Repository: CRAN
Date/Publication: 2026-04-07 05:20:08 UTC
Built: R 4.4.3; ; 2026-04-07 22:39:31 UTC; unix
