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.

Clinical Trial Designs in 'rstan'

package-ubuntu-20.04-r-4.0.5#cran#trialr-0.1.5

## S3 method for class 'crm_fit'
print(x, ...)

<table summary="R argblock">
<tr valign="top">
<td><code>x</code></td>
<td>
<p><code><a href="crm_fit-class.html">crm_fit</a></code> object to print.</p>
</td>
</tr>
<tr valign="top">
<td><code>...</code></td>
<td>
<p>Extra parameters, passed onwards.</p>
</td>
</tr>
</table>

package-ubuntu-20.04-r-4.0.5#cran#trialr-0.1.5#docs#print.crm_fit

`x`	`crm_fit` object to print.
`...`	Extra parameters, passed onwards.

print.crm_fit

Description

Usage

Arguments

trialr

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