eta_cov

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

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

ggPMX

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

eta_cov function

<dl><dt>labels</dt>
<dd>list of texts/titles used within the plot</dd>
<dt>type</dt>
<dd>box for cats or conts</dd>
<dt>dname</dt>
<dd>name of dataset to be used</dd>
<dt>show.correl</dt>
<dd><code>logical</code> if TRUE add correlation to the plot</dd>
<dt>correl</dt>
<dd><code>list</code> correl geom text graphical parameter</dd>
<dt>facets</dt>
<dd><code>list</code> facetting graphical parameter</dd>
<dt>point</dt>
<dd><code>list</code> geom point graphical parameter</dd>
<dt>covariates</dt>
<dd><code>pmxCOVObject</code> <code>pmx_cov</code></dd>
<dt>is.strat.color</dt>
<dd><code>logical</code> if `TRUE` use a different color for the spline stratification.</dd>
<dt>...</dt>
<dd>others graphics arguments passed to <code>pmx_gpar</code> internal object.</dd></dl>

Arguments

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

<dl>

<dt>labels</dt>
<dd>list of texts/titles used within the plot</dd>


<dt>type</dt>
<dd>box for cats or conts</dd>


<dt>dname</dt>
<dd>name of dataset to be used</dd>


<dt>show.correl</dt>
<dd><code>logical</code> if TRUE add correlation to the plot</dd>


<dt>correl</dt>
<dd><code>list</code> correl geom text graphical parameter</dd>


<dt>facets</dt>
<dd><code>list</code> facetting graphical parameter</dd>


<dt>point</dt>
<dd><code>list</code> geom point graphical parameter</dd>


<dt>covariates</dt>
<dd><code>pmxCOVObject</code> <code>pmx_cov</code></dd>


<dt>is.strat.color</dt>
<dd><code>logical</code> if `TRUE` use a different color for the spline stratification.</dd>


<dt>...</dt>
<dd>others graphics arguments passed to <code>pmx_gpar</code> internal object.</dd>

</dl>

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

Description

Usage

Value

Arguments

Details

See Also