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-4.5)apmx_1.1.1.zip(r-4.4)apmx_1.1.1.zip(r-4.3)
apmx_1.1.1.tgz(r-4.4-any)apmx_1.1.1.tgz(r-4.3-any)
apmx_1.1.1.tar.gz(r-4.5-noble)apmx_1.1.1.tar.gz(r-4.4-noble)
apmx_1.1.1.tgz(r-4.4-emscripten)apmx_1.1.1.tgz(r-4.3-emscripten)
apmx.pdf |apmx.html✨
apmx/json (API)
NEWS
# 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 10 months agofrom:571d528701. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 13 2024 |
R-4.5-win | OK | Nov 13 2024 |
R-4.5-linux | OK | Nov 13 2024 |
R-4.4-win | OK | Nov 13 2024 |
R-4.4-mac | OK | Nov 13 2024 |
R-4.3-win | OK | Nov 13 2024 |
R-4.3-mac | OK | Nov 13 2024 |
Exports:cov_applycov_findpk_buildpk_combinepk_definepk_summarizepk_writevariable_list_createversion_log
Dependencies:arsenalaskpassbase64encbslibcachemclicpp11data.tabledigestdplyrevaluatefansifastmapflextablefontawesomefontBitstreamVerafontLiberationfontquiverfsgdtoolsgenericsgluehighrhtmltoolsjquerylibjsonliteknitrlifecyclemagrittrmemoisemimeofficeropensslpillarpkgconfigpurrrR6raggrappdirsRcpprlangrmarkdownsassstringistringrsyssystemfontstextshapingthis.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 |