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.">

apmx: Automated Population Pharmacokinetic Dataset Assembly (original) (raw)

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.

Version: 1.1.1
Depends: R (≥ 4.00)
Imports: dplyr, tidyr, purrr, this.path, flextable, officer, tidyselect, utils, arsenal
Suggests: rmarkdown, knitr, testthat, tibble
Published: 2024-01-09
DOI: 10.32614/CRAN.package.apmx
Author: Stephen Amori [aut, cre, cph], Ethan DellaMaestra [aut], Michael Dick [aut], Daniel Litow [ctb], Jonah Lyon [ctb]
Maintainer: Stephen Amori <stephen.amori at amadorbio.com>
BugReports: https://github.com/stephen-amori/apmx/issues
License: GPL (≥ 3)
URL: https://github.com/stephen-amori/apmx
NeedsCompilation: no
Materials: README, NEWS
CRAN checks: apmx results

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