PK(PD) dataset assembly with the apmx library | Prepare workspace and load data | Background | Dose event preparation | PK observation event preparation | Simple dataset assembly | Covariate preparation | PD observation preparation | Full dataset assembly | Other covariate methods | Errors and warnings | Errors | Warnings | Time imputations | Dataset combination | Dataset documentation
Package: apmx 1.1.1
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.
Authors:
apmx_1.1.1.tar.gz
apmx_1.1.1.zip(r-4.7)apmx_1.1.1.zip(r-4.6)apmx_1.1.1.zip(r-4.5)
apmx_1.1.1.tgz(r-4.6-any)apmx_1.1.1.tgz(r-4.5-any)
apmx_1.1.1.tar.gz(r-4.7-any)apmx_1.1.1.tar.gz(r-4.6-any)
apmx_1.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
apmx/json (API)
| # Install 'apmx' in R: |
| install.packages('apmx', repos = c('https://stephen-amori.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/stephen-amori/apmx/issues
Last updated from:571d528701. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 175 | ||
| source / vignettes | OK | 256 | ||
| linux-release-x86_64 | OK | 207 | ||
| macos-release-arm64 | OK | 128 | ||
| macos-oldrel-arm64 | OK | 190 | ||
| windows-devel | OK | 110 | ||
| windows-release | OK | 130 | ||
| windows-oldrel | OK | 135 | ||
| wasm-release | OK | 152 |
Exports:cov_applycov_findpk_buildpk_combinepk_definepk_summarizepk_writevariable_list_createversion_log
Dependencies:arsenalaskpassbase64encbslibcachemclicpp11data.tabledigestdplyrevaluatefastmapflextablefontawesomefontBitstreamVerafontLiberationfontquiverfsgdtoolsgenericsgluehighrhtmltoolsjquerylibjsonliteknitrlifecyclemagrittrmemoisemimeofficeropensslpillarpkgconfigpurrrR6raggrappdirsRcpprlangrmarkdownsassstringistringrsyssystemfontstextshapingthis.pathtibbletidyrtidyselecttinytexutf8uuidvctrswithrxfunxml2yamlzip
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Apply covariates to PK(PD) dataset | cov_apply |
| Find covariates of particular types | cov_find |
| DM | DM |
| EX | EX |
| LB | LB |
| PC | PC |
| Create a NONMEM PK(PD) dataset | pk_build |
| combine study level datasets to form population dataset | pk_combine |
| Create definition file from published dataset | pk_define |
| Produce summary tables for a PK(PD) dataset | pk_summarize |
| Write PK(PD) dataset to specified location | pk_write |
| Create a dataframe with standard variable names and definitions | variable_list_create |
| Create and maintain a dataset version log | version_log |
| VL | VL |
