norm.known.var

A function to calculate posterior quanties for a normal-normal model with known variance (pages 70-72).
It produces the posterior mean, variance, and 95% credible interval for user-specified prior.

Functions and datasets for Jeff Gill: "Bayesian Methods: A Social and Behavioral Sciences Approach". First, Second, and Third Edition. Published by Chapman and Hall/CRC (2002, 2007, 2014) <doi:10.1201/b17888>.

Jeff Gill

Functions and Datasets for "Bayesian Methods: A Social and
Behavioral Sciences Approach"

norm.known.var function

<dl><dt>data.vec</dt>
<dd>a vector of assumed normally distributed data</dd>
<dt>pop.var</dt>
<dd>known population variance</dd>
<dt>prior.mean</dt>
<dd>mean of specified prior distribution for mu</dd>
<dt>prior.var</dt>
<dd>variance of specified prior distribution for mu</dd></dl>

Arguments

Author

norm.known.var — norm.known.var

<dl>

<dt>data.vec</dt>
<dd>a vector of assumed normally distributed data</dd>


<dt>pop.var</dt>
<dd>known population variance</dd>


<dt>prior.mean</dt>
<dd>mean of specified prior distribution for mu</dd>


<dt>prior.var</dt>
<dd>variance of specified prior distribution for mu</dd>

</dl>

norm.known.var: norm.known.var

Description

Usage

Arguments

Author