normal.posterior.summary

A function to calculate posterior quantities of bivariate normals. See pages 74-80.

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"

normal.posterior.summary function

<dl><dt>reps</dt>
<dd>a matrix where the columns are defined as in the output of biv.norm.post:</dd></dl>

Arguments

Author

normal posterior summary — normal.posterior.summary

<dl>

<dt>reps</dt>
<dd>a matrix where the columns are defined as in the output of biv.norm.post:</dd>

</dl>

normal.posterior.summary: normal posterior summary

Description

Usage

Arguments

Author

See Also