getTruncatedNormal

Generate a random sample from a truncated normal distribution.

internal

Optimal experimental designs for both population and individual
studies based on nonlinear mixed-effect models. Often this is based on a
computation of the Fisher Information Matrix. This package was developed
for pharmacometric problems, and examples and predefined models are available
for these types of systems. The methods are described in Nyberg et al.
(2012) <doi:10.1016/j.cmpb.2012.05.005>, and Foracchia et al. (2004)
<doi:10.1016/S0169-2607(03)00073-7>.

Andrew C. Hooker

PopED

Population (and Individual) Optimal Experimental Design

Marco Foracchia

Eric Stroemberg

Martin Fink

Giulia Lestini

Sebastian Ueckert

Joakim Nyberg

getTruncatedNormal function

<dl><dt>mean</dt>
<dd>the mean of the normal distribution</dd>
<dt>variance</dt>
<dd>The variance of the normal distribution</dd></dl>

Arguments

Generate a random sample from a truncated normal distribution. — getTruncatedNormal

<dl>

<dt>mean</dt>
<dd>the mean of the normal distribution</dd>


<dt>variance</dt>
<dd>The variance of the normal distribution</dd>

</dl>

getTruncatedNormal: Generate a random sample from a truncated normal distribution.

Description

Usage

Value

Arguments

Examples