1
Download The boa Package
Transcript
boa.acf boa.acf 3 Autocorrelation Function Description Computes lag autocorrelations for the parameters in an MCMC sequence. Usage boa.acf(link, lags) Arguments link lags Matrix whose columns and rows contain the monitored parameters and the MCMC iterations, respectively. The iteration numbers and parameter names must be assigned to dimnames(link) Vector of lags at which to estimate the autocorrelation function. Value A matrix whose columns and rows contain the estimated autocorrelation functions at the specified lags and the monitored parameters, respectively. Author(s) Brian J. Smith See Also boa.plot, boa.plot.acf, boa.print.acf boa.batchMeans Batch Means Description Computes batch means for the parameters in an MCMC sequence. Usage boa.batchMeans(link, size) Arguments link size Matrix whose columns and rows contain the monitored parameters and the MCMC iterations, respectively. The iteration numbers and parameter names must be assigned to dimnames(link). Number of iterations to include in each batch.
