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 |
| 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 |
Documentation:
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