plot_pmx.residual

<p>This function plots residual for each observed value by finding the difference between observed and predicted points. It also fits a distribution to the residual value.</p>

At Novartis, we aimed at standardizing the set of diagnostic plots used for modeling
activities in order to reduce the overall effort required for generating such plots.
For this, we developed a guidance that proposes an adequate set of diagnostics and a toolbox,
called 'ggPMX' to execute them. 'ggPMX' is a toolbox that can generate all diagnostic plots at a quality sufficient
for publication and submissions using few lines of code.

Amine Gassem

ggPMX

'ggplot2' Based Tool to Facilitate Diagnostic Plots for NLME
Models

Bruno Bieth

Irina Baltcheva

Thomas Dumortier

Christian Bartels

Souvik Bhattacharya

Inga Ludwig

Ines Paule

Didier Renard

Qing Xi Ooi

Novartis Pharma AG 

plot_pmx.residual function

This function plots residual for each observed value by finding the difference between observed and predicted points. It also fits a distribution to the residual value. — plot_pmx.residual

This function plots residual for each observed value by finding the difference between observed and predicted points. It also fits a distribution to the residual value.

plot_pmx.residual: This function plots residual for each observed value by finding the difference between observed and predicted points. It also fits a distribution to the residual value.

Description

Usage

Arguments

Value

See Also