draw_params_mvr

Draw parameters from multivariate distribution

Visual predictive checks are a commonly used diagnostic plot in pharmacometrics, showing how certain statistics (percentiles) for observed data compare to those same statistics for data simulated from a model. The package can generate VPCs for continuous, categorical, censored, and (repeated) time-to-event data.

Ron Keizer

Create Visual Predictive Checks

Bill Denney

draw_params_mvr function

<dl><dt>ids</dt>
<dd>vector of id numbers</dd>
<dt>n_sim</dt>
<dd>number of simulations</dd>
<dt>theta</dt>
<dd>theta vector</dd>
<dt>omega_mat</dt>
<dd>omega matrix</dd>
<dt>par_names</dt>
<dd>parameter names vector</dd></dl>

Arguments

Draw parameters from multivariate distribution — draw_params_mvr

<dl>

<dt>ids</dt>
<dd>vector of id numbers</dd>


<dt>n_sim</dt>
<dd>number of simulations</dd>


<dt>theta</dt>
<dd>theta vector</dd>


<dt>omega_mat</dt>
<dd>omega matrix</dd>


<dt>par_names</dt>
<dd>parameter names vector</dd>

</dl>

draw_params_mvr: Draw parameters from multivariate distribution

Description

Usage

Arguments