Bayesian and ML Emax model fitting, graphics and simulation for clinical dose
response.  The summary data from the dose response meta-analyses in
Thomas, Sweeney, and Somayaji (2014) <doi:10.1080/19466315.2014.924876> and
Thomas and Roy (2016) <doi:10.1080/19466315.2016.1256229>
Wu, Banerjee, Jin, Menon, Martin, and Heatherington(2017) <doi:10.1177/0962280216684528>
are included
in the package.  The prior distributions for the Bayesian analyses default to
the posterior predictive distributions derived from these references.

Simulation and Analysis Tools for Clinical Dose Response
Modeling

package-ubuntu-20.04-r-4.0.5#cran#clinDR-2.3.5

<p>Print a summary of the fitted Bayesian Emax model
</p>

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

<table summary="R argblock">
<tr valign="top">
<td><code>x</code></td>
<td>

<p>Object output by <code><a href="fitEmaxB.html">fitEmaxB</a></code>
</p>
</td>
</tr>
<tr valign="top">
<td><code>...</code></td>
<td>

<p>No options implemented.
</p>
</td>
</tr>
</table>

package-ubuntu-20.04-r-4.0.5#cran#clinDR-2.3.5#docs#print.fitEmaxB

`x`	Object output by `fitEmaxB`
`...`	No options implemented.

print.fitEmaxB

Description

Usage

Arguments

clinDR

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