apmx: Automated Population Pharmacokinetic Dataset Assembly
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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