create_metabfl

Create METABFL Column Based on Selected Metabolites

An interactive 'shiny' application for performing non-compartmental analysis (NCA) on
pre-clinical and clinical pharmacokinetic data. The package builds on 'PKNCA' for core estimators and provides interactive visualizations, CDISC
outputs ('ADNCA', 'PP', 'ADPP') and configurable TLGs (tables, listings, and graphs). Typical use cases include exploratory
analysis, validation, reporting or teaching/demonstration of NCA methods. Methods and core
estimators are described in Denney, Duvvuri, and Buckeridge (2015) "Simple, Automatic
Noncompartmental Analysis: The PKNCA R Package" <doi:10.1007/s10928-015-9432-2>.

Valentin Legras

aNCA

(Pre-)Clinical NCA in a Dynamic Shiny App

Ercan Suekuer

Gerardo Jose Rodriguez

Pascal Baertschi

Jana Spinner

Mateusz Kolomanski

Lucy Aspridis

F. Hoffmann-La Roche AG 

create_metabfl function

<dl><dt>dataset</dt>
<dd>A data frame containing a dataset with a PARAM (parameter) column.</dd>
<dt>metabolites</dt>
<dd>A character vector of parameter names representing metabolites.</dd></dl>

Arguments

Create METABFL Column Based on Selected Metabolites — create_metabfl

<dl>

<dt>dataset</dt>
<dd>A data frame containing a dataset with a PARAM (parameter) column.</dd>


<dt>metabolites</dt>
<dd>A character vector of parameter names representing metabolites.</dd>

</dl>

create_metabfl: Create METABFL Column Based on Selected Metabolites

Description

Usage

Value

Arguments