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logMargDenNR

Compute Log Marginal Density Using Newton-Raftery Approx


Description

logMargDenNR computes log marginal density using the Newton-Raftery approximation.

Usage

logMargDenNR(ll)

Arguments

ll

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

Value

Approximation to log marginal density value.

Warning

This approximation can be influenced by outliers in the vector of log-likelihoods; use with care. This routine is a utility routine that does not check the input arguments for proper dimensions and type.

Author(s)

Peter Rossi, Anderson School, UCLA, perossichi@gmail.com.

References

For further discussion, see Chapter 6, Bayesian Statistics and Marketing by Rossi, Allenby, and McCulloch.
http://www.perossi.org/home/bsm-1


bayesm

Bayesian Inference for Marketing/Micro-Econometrics

v3.1-4
GPL (>= 2)
Authors
Peter Rossi <perossichi@gmail.com>
Initial release
2019-10-14

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