logMargDenNR {bayesm} | R Documentation

## Compute Log Marginal Density Using Newton-Raftery Approx

### Description

`logMargDenNR` computes log marginal density using the Newton-Raftery approximation.
Note: this approximation can be influenced by outliers in the vector of log-likelihoods. Use with care .

### Usage

    logMargDenNR(ll)

### Arguments

`ll` | vector of log-likelihoods evaluated at length(ll) MCMC draws

### Value

approximation to log marginal density value.

### Warning

This routine is a utility routine that does not check the input arguments for proper dimensions and type.

### Author(s)

Peter Rossi, Graduate School of Business, University of Chicago, Peter.Rossi@ChicagoGsb.edu.

### References

For further discussion, see Bayesian Statistics and Marketing by Rossi, Allenby and McCulloch, Chapter 6.
http://gsbwww.uchicago.edu/fac/peter.rossi/research/bsm.html

[Package bayesm version 2.0-8 Index]