plot.TrialDesignOptimalConditionalError

The returned plot is a <code>ggplot2</code> object and can be supplemented with additional layers using <code>ggplot2</code> commands.

Design and analysis of confirmatory adaptive clinical trials using the optimal conditional error framework according to Brannath and Bauer (2004) <doi:10.1111/j.0006-341X.2004.00221.x>. An extension to the optimal conditional error function using interim estimates as described in Brannath and Dreher (2024) <doi:10.48550/arXiv.2402.00814> and functions to ensure that the resulting conditional error function is non-increasing are also available.

Morten Dreher

optconerrf

Optimal Monotone Conditional Error Functions

Werner Brannath

Cornelia Ursula Kunz

Johanna zur Verth

plot.TrialDesignOptimalConditionalError function

<dl><dt>x</dt>
<dd>Design object of class <code>TrialDesignOptimalConditionalError</code>.</dd>
<dt>range</dt>
<dd>Numeric vector with two entries specifying the range of the x-axis of the plot.</dd>
<dt>type</dt>
<dd>Type of plot to be created. Options are:<ul>
<li><code>type = 1</code>: Plot the values of the optimal conditional error function against the first-stage p-value.</li>
<li><code>type = 2</code>: Plot the second-stage information resulting from the optimal conditional error function against the first-stage p-value.</li>
<li><code>type = 3</code>: Plot the likelihood ratio of the given specification of the optimal conditional error function against the first-stage p-value.</li>
<li><code>type = 4</code>: Plot the function Q of the given specification of the optimal conditional error function against the first-stage p-value.</li>
</ul></dd>
<dt>plotNonMonotoneFunction</dt>
<dd>Logical. Should the non-monotone version of the plot be drawn? Not applicable for plot type 3. Default: <code>FALSE</code>.</dd>
<dt>...</dt>
<dd>Additional arguments required for generic compatibility</dd></dl>

Arguments

Plot the optimal conditional error function — plot.TrialDesignOptimalConditionalError

<dl>

<dt>x</dt>
<dd>Design object of class <code>TrialDesignOptimalConditionalError</code>.</dd>


<dt>range</dt>
<dd>Numeric vector with two entries specifying the range of the x-axis of the plot.</dd>


<dt>type</dt>
<dd>Type of plot to be created. Options are:<ul>
<li><code>type = 1</code>: Plot the values of the optimal conditional error function against the first-stage p-value.</li>
<li><code>type = 2</code>: Plot the second-stage information resulting from the optimal conditional error function against the first-stage p-value.</li>
<li><code>type = 3</code>: Plot the likelihood ratio of the given specification of the optimal conditional error function against the first-stage p-value.</li>
<li><code>type = 4</code>: Plot the function Q of the given specification of the optimal conditional error function against the first-stage p-value.</li>
</ul></dd>


<dt>plotNonMonotoneFunction</dt>
<dd>Logical. Should the non-monotone version of the plot be drawn? Not applicable for plot type 3. Default: <code>FALSE</code>.</dd>


<dt>...</dt>
<dd>Additional arguments required for generic compatibility</dd>

</dl>

plot.TrialDesignOptimalConditionalError: Plot the optimal conditional error function

Description

Usage

Value

Arguments