plot_pmx.eta_cov

<p>This plots an ETA covariance matrix which can be used to define the co-relation between the parameters and
its shrinkage</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.eta_cov function

This plots an ETA covariance matrix which can be used to define the co-relation between the parameters and
its shrinkage — plot_pmx.eta_cov

This plots an ETA covariance matrix which can be used to define the co-relation between the parameters and
its shrinkage

plot_pmx.eta_cov: This plots an ETA covariance matrix which can be used to define the co-relation between the parameters and its shrinkage

Description

Usage

Arguments

Value

See Also