regroup

Collapses a matrix by summing over a specific number of rows

models

A collection of functions helpful in learning the basic tenets of Bayesian statistical inference.  It contains functions for summarizing basic one and two parameter posterior distributions and predictive distributions.  It contains MCMC algorithms for summarizing posterior distributions defined by the user.  It also contains functions for regression models, hierarchical models, Bayesian tests, and illustrations of Gibbs sampling.

Jim Albert

LearnBayes

Functions for Learning Bayesian Inference

regroup function

<dl> <dt>data</dt>
<dd>a matrix</dd> <dt>g</dt>
<dd>a positive integer beween 1 and the number of rows of data</dd></dl>

Arguments

Author

Collapses a matrix by summing over rows — regroup

<dl>

 <dt>data</dt>
<dd>a matrix</dd>

 <dt>g</dt>
<dd>a positive integer beween 1 and the number of rows of data</dd>

</dl>

regroup: Collapses a matrix by summing over rows

Description

Usage

Value

Arguments

Author

Examples