quantile_cens

Calculate quantiles respecting the censored data

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

quantile_cens function

<dl><dt>x</dt>
<dd>numeric vector whose sample quantiles are wanted, or an
 object of a class for which a method has been defined (see also
 &#8216;details&#8217;). <code><a href="/link/NA?package=vpc&version=1.2.4" data-mini-rdoc="vpc::NA">NA</a></code> and <code>NaN</code> values are not
 allowed in numeric vectors unless <code>na.rm</code> is <code>TRUE</code>.</dd>
<dt>probs</dt>
<dd>numeric vector of probabilities with values in
 \([0,1]\). (Values up to <samp>2e-14</samp> outside that
 range are accepted and moved to the nearby endpoint.)</dd>
<dt>limit</dt>
<dd>censoring limit (ignored if <code>cens="neither"</code>)</dd>
<dt>cens</dt>
<dd>censoring direction</dd></dl>

Arguments

Calculate quantiles respecting the censored data — quantile_cens

<dl>

<dt>x</dt>
<dd>numeric vector whose sample quantiles are wanted, or an
 object of a class for which a method has been defined (see also
 &#8216;details&#8217;). <code><a href='https://rdrr.io/r/base/NA.html'>NA</a></code> and <code>NaN</code> values are not
 allowed in numeric vectors unless <code>na.rm</code> is <code>TRUE</code>.</dd>


<dt>probs</dt>
<dd>numeric vector of probabilities with values in
 \([0,1]\). (Values up to <samp>2e-14</samp> outside that
 range are accepted and moved to the nearby endpoint.)</dd>


<dt>limit</dt>
<dd>censoring limit (ignored if <code>cens="neither"</code>)</dd>


<dt>cens</dt>
<dd>censoring direction</dd>

</dl>

quantile_cens: Calculate quantiles respecting the censored data

Description

Usage

Value

Arguments