plot,bdpsurvival-method

<code>plot</code> method for class <code>bdpsurvival</code>.

Functions for data augmentation using the Bayesian discount prior
method for single arm and two-arm clinical trials, as described in Haddad
et al. (2017) <doi:10.1080/10543406.2017.1300907>. The discount power prior
methodology was developed in collaboration with the The Medical Device
Innovation Consortium (MDIC) Computer Modeling & Simulation Working Group.

Hickey Graeme L.

bayesDP

Implementation of the Bayesian Discount Prior Approach for
Clinical Trials

Shawn Balcome

Donnie Musgrove

Tarek Haddad

Graeme L. Hickey

Christopher Jackson

plot,bdpsurvival-method function

<dl><dt>x</dt>
<dd>object of class <code>bdpsurvival</code>. The result of a call to the
<code>bdpsurvival</code> function.</dd>
<dt>type</dt>
<dd>character. Optional. Select plot type to print. Supports the
following: "discount" gives the discount function and "survival" gives the
survival curves. Leave NULL to display all plots in sequence.</dd>
<dt>print</dt>
<dd>logical. Optional. Produce a plot (<code>print = TRUE</code>; default)
or return a ggplot object (<code>print = FALSE</code>). When <code>print =
FALSE</code>, it is possible to use <code>ggplot2</code> syntax to modify the plot
appearance.</dd></dl>

Arguments

bdpsurvival Object Plot — plot,bdpsurvival-method

<dl>

<dt>x</dt>
<dd>object of class <code>bdpsurvival</code>. The result of a call to the
<code>bdpsurvival</code> function.</dd>


<dt>type</dt>
<dd>character. Optional. Select plot type to print. Supports the
following: "discount" gives the discount function and "survival" gives the
survival curves. Leave NULL to display all plots in sequence.</dd>


<dt>print</dt>
<dd>logical. Optional. Produce a plot (<code>print = TRUE</code>; default)
or return a ggplot object (<code>print = FALSE</code>). When <code>print =
FALSE</code>, it is possible to use <code>ggplot2</code> syntax to modify the plot
appearance.</dd>

</dl>

plot,bdpsurvival-method: bdpsurvival Object Plot

Description

Usage

Arguments

Details