logCdelta

The function returns the interpolated value (a scalar) of \(logC(\delta)\) based on its results on selected knots,
given input vector of \(\delta\).

normalized power prior

Posterior sampling in several commonly used distributions using
normalized power prior as described in
Duan, Ye and Smith (2006) <doi:10.1002/env.752> and
Ibrahim et.al. (2015) <doi:10.1002/sim.6728>.
Sampling of the power parameter is achieved via
either independence Metropolis-Hastings or random walk Metropolis-Hastings
based on transformation.

Zifei Han

Normalized Power Prior Bayesian Analysis

Qiang Zhang

Tianyu Bai

Yuyan Duan

Keying Ye

logCdelta function

<dl>
<dt>delta</dt>
<dd>a scalar of the input value of \(\delta\).</dd>
<dt>deltaknot</dt>
<dd>a vector of the knots for \(\delta\). It should be selected before conduct the sampling.</dd>
<dt>lCknot</dt>
<dd>a vector of the values \(logC(\delta)\) on selected knots, coming from the function <code>logCknot</code>.</dd>
</dl>

Arguments

Zifei Han <a href="/link/hanzifei1%40gmail.com?package=NPP&version=0.7.0" data-mini-rdoc="NPP::hanzifei1@gmail.com">hanzifei1@gmail.com</a>

Author

A Function to Interpolate \(logC(\delta)\) Based on Its Values on Selected Knots — logCdelta

<dl>


<dt>delta</dt>
<dd>a scalar of the input value of \(\delta\).</dd>


<dt>deltaknot</dt>
<dd>a vector of the knots for \(\delta\). It should be selected before conduct the sampling.</dd>


<dt>lCknot</dt>
<dd>a vector of the values \(logC(\delta)\) on selected knots, coming from the function <code>logCknot</code>.</dd>


</dl>

Zifei Han <a href='mailto:hanzifei1@gmail.com'>hanzifei1@gmail.com</a>

logCdelta: A Function to Interpolate \(logC(\delta)\) Based on Its Values on Selected Knots

Description

Usage

Value

Arguments

Author

References

See Also