PKNCA_hl_rules_exclusion

Exclude NCA results based on user-defined rules over the half-life related parameters
This function applies exclusion rules to the NCA results based on user-defined parameters.

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 

PKNCA_hl_rules_exclusion function

<dl><dt>res</dt>
<dd>A PKNCAresults object containing the NCA results.</dd>
<dt>rules</dt>
<dd>A list of exclusion rules where each rule is a named vector.</dd></dl>

Arguments

Exclude NCA results based on user-defined rules over the half-life related parameters
This function applies exclusion rules to the NCA results based on user-defined parameters. — PKNCA_hl_rules_exclusion

<dl>

<dt>res</dt>
<dd>A PKNCAresults object containing the NCA results.</dd>


<dt>rules</dt>
<dd>A list of exclusion rules where each rule is a named vector.</dd>

</dl>

Exclude NCA results based on user-defined rules over the half-life related parameters
This function applies exclusion rules to the NCA results based on user-defined parameters.

PKNCA_hl_rules_exclusion: Exclude NCA results based on user-defined rules over the half-life related parameters This function applies exclusion rules to the NCA results based on user-defined parameters.

Description

Usage

Value

Arguments

Details