print.emaxsimBobj

Print a summary of the fitted Emax model. 
Printed output returned as invisible matrix.

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.

Neal Thomas

clinDR

Simulation and Analysis Tools for Clinical Dose Response
Modeling

Jing Wu

Mike K. Smith

print.emaxsimBobj function

<dl> <dt>x</dt>
<dd>Object output by the extractor function [] for <code>emaxsimB</code></dd><dt>nprint</dt>
<dd>Number of observations to print. If a vector of
length 2, <code>nprint</code> is the range of data to print.</dd> <dt>...</dt>
<dd>No options implemented.</dd></dl>

Arguments

Print a summary of the fitted Emax model — print.emaxsimBobj

<dl>

 <dt>x</dt>
<dd>Object output by the extractor function [] for <code>emaxsimB</code></dd>

<dt>nprint</dt>
<dd>Number of observations to print. If a vector of
length 2, <code>nprint</code> is the range of data to print.</dd>

 <dt>...</dt>
<dd>No options implemented.</dd>

</dl>

print.emaxsimBobj: Print a summary of the fitted Emax model

Description

Usage

Arguments