emaxfun

Evaluate Emax models for a vector of dose levels for multiple sets
of parameters.

nonlinear

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

emaxfun function

<dl> <dt>dose</dt>
<dd>A vector (or scalar) of dose levels</dd> <dt>parm</dt>
<dd>A vector or matrix with columns containing
 <code>log(ed50)</code>, Hill parameter if sigmoid model,
 <code>emax</code>,<code>e0</code></dd></dl>

Arguments

Author

Vectorized versions of the hyperbolic and sigmoidal Emax models — emaxfun

<dl>

 <dt>dose</dt>
<dd>A vector (or scalar) of dose levels</dd>

 <dt>parm</dt>
<dd>A vector or matrix with columns containing
 <code>log(ed50)</code>, Hill parameter if sigmoid model,
 <code>emax</code>,<code>e0</code></dd>

</dl>

emaxfun: Vectorized versions of the hyperbolic and sigmoidal Emax models

Description

Usage

Value

Arguments

Author

Details

See Also

Examples