Variable list with apmx variables and definitions

datasets

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.

Stephen Amori

apmx

Automated Population Pharmacokinetic Dataset Assembly

Ethan DellaMaestra

Michael Dick

Daniel Litow

Jonah Lyon

VL function

## `VL`
A data frame with 66 rows and 4 variables:<dl>
 <dt>Variable</dt>
<dd>Column or variable name</dd> <dt>Categorization</dt>
<dd>Column or variable category</dd> <dt>Description</dt>
<dd>Column or variable description</dd> <dt>Comment</dt>
<dd>NA by default</dd>
</dl>

Format

VL — VL

## `VL`
A data frame with 66 rows and 4 variables:<dl>
 <dt>Variable</dt>
<dd>Column or variable name</dd>

 <dt>Categorization</dt>
<dd>Column or variable category</dd>

 <dt>Description</dt>
<dd>Column or variable description</dd>

 <dt>Comment</dt>
<dd>NA by default</dd>


</dl>

VL: VL

Description

Usage

Arguments

Format