numEff {bayesm}  R Documentation 
Compute Numerical Standard Error and Relative Numerical Efficiency
Description
numEff
computes the numerical standard error for the mean of a vector of draws as well as the relative numerical efficiency (ratio of variance of mean of this time series process relative to iid sequence).
Usage
numEff(x, m = as.integer(min(length(x),(100/sqrt(5000))*sqrt(length(x)))))
Arguments
x 

m 
number of lags for autocorrelations 
Details
default for number of lags is chosen so that if R=5000
, m=100
and increases as the sqrt(R)
.
Value
A list containing:
stderr 
standard error of the mean of 
f 
variance ratio (relative numerical efficiency) 
Warning
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 3, Bayesian Statistics and Marketing by Rossi, Allenby, and McCulloch.
Examples
numEff(rnorm(1000), m=20)
numEff(rnorm(1000))
[Package bayesm version 3.16 Index]