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. This package focuses on plots recommended by ISoP
<doi:10.1002/psp4.12161>. While not required, you can get/install the 'R' 'lixoftConnectors'
package in the 'Monolix' installation, as described at the following url
<https://monolix.lixoft.com/monolix-api/lixoftconnectors_installation/>.
When 'lixoftConnectors' is available, 'R' can use 'Monolix' directly to create the required
Chart Data instead of exporting it from the 'Monolix' gui.

Matthew Fidler

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