boa.plot.acf: Plot Autocorrelation Function
In brian-j-smith/boa: Bayesian Output Analysis Program (BOA) for MCMC
Description
Usage
Arguments
Value
Author(s)
See Also
Description
Creates a single plot of the lag autocorrelations for a specified parameter.
Usage
1
boa.plot.acf(lname, pname, annotate = boa.par("legend"))
Arguments
lname
Character string giving the name of the desired MCMC sequence in
the working session list of sequences.
pname
Character string giving the name of the parameter to be plotted.
annotate
Logical value indicating that a legend be included in the plot.
Value
A logical value indicating that the plot was successfully created.
Author(s)
Brian J. Smith
See Also
brian-j-smith/boa documentation built on May 12, 2019, 5:43 a.m.
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Description Usage Arguments Value Author(s) See Also
Description
Creates a single plot of the lag autocorrelations for a specified parameter.
Usage
1 | boa.plot.acf(lname, pname, annotate = boa.par("legend"))
|
Arguments
lname |
Character string giving the name of the desired MCMC sequence in the working session list of sequences. |
pname |
Character string giving the name of the parameter to be plotted. |
annotate |
Logical value indicating that a legend be included in the plot. |
Value
A logical value indicating that the plot was successfully created.
Author(s)
Brian J. Smith
See Also
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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