Package: apmx
Type: Package
Title: Automated Population Pharmacokinetic Dataset Assembly
Version: 1.1.1
Date: 2024-01-05
Authors@R: c(
    person("Stephen", "Amori", email="stephen.amori@amadorbio.com", role = c("aut", "cre", "cph")),
    person("Ethan", "DellaMaestra", email="ethan.dellamaestra@amadorbio.com", role = c("aut")),
    person("Michael", "Dick", email="michael.dick@amadorbio.com", role=c("aut")),
    person("Daniel", "Litow", role = c("ctb")),
    person("Jonah", "Lyon", role = c("ctb"))
  )
Maintainer: Stephen Amori <stephen.amori@amadorbio.com>
Description: Automated methods to assemble population PK (pharmacokinetic) and
    PKPD (pharmacodynamic) datasets for analysis in 'NONMEM' (non-linear mixed effects
    modeling) by Bauer (2019) <doi:10.1002/psp4.12404>. The package includes functions
    to build datasets from SDTM (study data tabulation module)
    <https://www.cdisc.org/standards/foundational/sdtm>, ADaM (analysis dataset
    module) <https://www.cdisc.org/standards/foundational/adam>, or other dataset
    formats. The package will combine population datasets, add covariates, and
    create documentation to support regulatory submission and internal communication.
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
Imports: dplyr, tidyr, purrr, this.path, flextable, officer,
        tidyselect, utils, arsenal
RoxygenNote: 7.2.3
URL: https://github.com/stephen-amori/apmx
BugReports: https://github.com/stephen-amori/apmx/issues
Depends: R (>= 4.00)
Suggests: rmarkdown, knitr, testthat, tibble
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2024-01-05 20:40:33 UTC; Stephen.Amori
Author: Stephen Amori [aut, cre, cph],
  Ethan DellaMaestra [aut],
  Michael Dick [aut],
  Daniel Litow [ctb],
  Jonah Lyon [ctb]
Repository: CRAN
Date/Publication: 2024-01-09 09:00:18 UTC
Built: R 4.6.0; ; 2026-04-25 13:33:38 UTC; unix
