plot_weights

plot_weights,OneStageBasket-method

Analytically calculates the operating characteristics of
single-stage and two-stage basket trials with equal sample sizes using the
power prior design by Baumann et al. (2024) <doi:10.48550/arXiv.2309.06988>
and the design by Fujikawa et al. (2020) <doi:10.1002/bimj.201800404>.

Lukas Baumann

baskexact

Analytical Calculation of Basket Trial Operating Characteristics

plot_weights function

<dl><dt>design</dt>
<dd>An object of class <code>Basket</code> created by
<code>setupOneStageBasket</code> or <code>setupTwoStageBasket</code>.</dd>
<dt>...</dt>
<dd>Further arguments.</dd>
<dt>n</dt>
<dd>The sample size per basket.</dd>
<dt>r1</dt>
<dd>Number of responses in one basket</dd>
<dt>weight_fun</dt>
<dd>Which function should be used to calculate the pairwise
weights.</dd>
<dt>weight_params</dt>
<dd>A list of tuning parameters specific to
<code>weight_fun</code>.</dd></dl>

Arguments

<ul>
<li><code>plot_weights(OneStageBasket)</code>: Plot weights for a single-stage basket trials</li>
</ul>

Methods (by class)

Plot Weight Functions — plot_weights

<dl>

<dt>design</dt>
<dd>An object of class <code>Basket</code> created by
<code>setupOneStageBasket</code> or <code>setupTwoStageBasket</code>.</dd>


<dt>...</dt>
<dd>Further arguments.</dd>


<dt>n</dt>
<dd>The sample size per basket.</dd>


<dt>r1</dt>
<dd>Number of responses in one basket</dd>


<dt>weight_fun</dt>
<dd>Which function should be used to calculate the pairwise
weights.</dd>


<dt>weight_params</dt>
<dd>A list of tuning parameters specific to
<code>weight_fun</code>.</dd>

</dl>

plot_weights: Plot Weight Functions

Description

Usage

Value

Arguments

Methods (by class)

Details

Examples