print.augbin_fit

A collection of clinical trial designs and methods, implemented in
'rstan' and R, including: the Continual Reassessment Method by O'Quigley et
al. (1990) <doi:10.2307/2531628>; EffTox by Thall & Cook (2004)
<doi:10.1111/j.0006-341X.2004.00218.x>; the two-parameter logistic method of
Neuenschwander, Branson & Sponer (2008) <doi:10.1002/sim.3230>; and the
Augmented Binary method by Wason & Seaman (2013) <doi:10.1002/sim.5867>; and
more. We provide functions to aid model-fitting and analysis.
The 'rstan' implementations may also serve as a cookbook to anyone looking
to extend or embellish these models. We hope that this package encourages
the use of Bayesian methods in clinical trials. There is a preponderance of
early phase trial designs because this is where Bayesian methods are used
most. If there is a method you would like implemented, please get in touch.

Kristian Brock

trialr

Clinical Trial Designs in 'rstan'

Trustees of Columbia University

print.augbin_fit function

<dl><dt>x</dt>
<dd><code>augbin_fit</code> object to print.</dd>
<dt>pars</dt>
<dd>parameters in model to summarise.</dd>
<dt>...</dt>
<dd>Extra parameters, passed onwards.</dd></dl>

Arguments

Print augbin_fit object. — print.augbin_fit

<dl>

<dt>x</dt>
<dd><code>augbin_fit</code> object to print.</dd>


<dt>pars</dt>
<dd>parameters in model to summarise.</dd>


<dt>...</dt>
<dd>Extra parameters, passed onwards.</dd>

</dl>

print.augbin_fit: Print augbin_fit object.

Description

Usage

Arguments