boa.acf: Autocorrelation Function
In boa: Bayesian Output Analysis Program (BOA) for MCMC
Description
Usage
Arguments
Value
Author(s)
See Also
Description
Computes lag autocorrelations for the parameters in an MCMC sequence.
Usage
1
boa.acf(link, lags)
Arguments
link
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)
lags
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 documentation built on May 1, 2019, 9:12 p.m.
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Description Usage Arguments Value Author(s) See Also
Description
Computes lag autocorrelations for the parameters in an MCMC sequence.
Usage
1 | boa.acf(link, lags)
|
Arguments
link |
Matrix whose columns and rows contain the monitored parameters
and the MCMC iterations, respectively. The iteration numbers and parameter
names must be assigned to |
lags |
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
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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