transform_prm

The function calculates the mean and variance of function of parameters

internal

Diagnostics for non-linear mixed-effects (population)
models from 'NONMEM' <https://www.iconplc.com/solutions/technologies/nonmem/>.
'xpose' facilitates data import, creation of numerical run summary
and provide 'ggplot2'-based graphics for data exploration and model
diagnostics.

Benjamin Guiastrennec

xpose

Diagnostics for Pharmacometric Models

Andrew C. Hooker

Sebastian Ueckert

Mike K. Smith

Mats O. Karlsson

transform_prm function

<dl><dt>formula</dt>
<dd>A formula describing the transformation.</dd>
<dt>mu</dt>
<dd>Vector of mean values for the variables in formula.</dd>
<dt>sigma</dt>
<dd>Covariance matrix for the variables in formula.</dd>
<dt>method</dt>
<dd>A string indicating which method to use for the calculation.</dd>
<dt>samples</dt>
<dd>Number of Monte-Carlo samples for method "mc"</dd></dl>

Arguments

Mean and variance of tranformed parameters — transform_prm

<dl>

<dt>formula</dt>
<dd>A formula describing the transformation.</dd>


<dt>mu</dt>
<dd>Vector of mean values for the variables in formula.</dd>


<dt>sigma</dt>
<dd>Covariance matrix for the variables in formula.</dd>


<dt>method</dt>
<dd>A string indicating which method to use for the calculation.</dd>


<dt>samples</dt>
<dd>Number of Monte-Carlo samples for method "mc"</dd>

</dl>

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transform_prm: Mean and variance of tranformed parameters

Description

Usage

Value

Arguments

Examples