format_pkncadose_data

This function creates a pharmacokinetic dose dataset from the provided concentration data.

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 

format_pkncadose_data function

<dl><dt>pkncaconc_data</dt>
<dd>A data frame containing the concentration data.</dd>
<dt>time_column</dt>
<dd>A character string specifying the time from first dose column.</dd>
<dt>rrlt_column</dt>
<dd>A character string specifying the time since last dose column.</dd>
<dt>group_columns</dt>
<dd>A character vector specifying the columns to group by.</dd></dl>

Arguments

Create PK Dose Dataset — format_pkncadose_data

<dl>

<dt>pkncaconc_data</dt>
<dd>A data frame containing the concentration data.</dd>


<dt>time_column</dt>
<dd>A character string specifying the time from first dose column.</dd>


<dt>rrlt_column</dt>
<dd>A character string specifying the time since last dose column.</dd>


<dt>group_columns</dt>
<dd>A character vector specifying the columns to group by.</dd>

</dl>

format_pkncadose_data: Create PK Dose Dataset

Description

Usage

Value

Arguments

Details