acfs: Autocorrelation function
In pmat747/powModSel: Power Posterior Methods for model selection
acfs R Documentation
Autocorrelation function
Description
This function produces the autocorrelation plot for the log-likelihood at each temperature
Usage
acfs(x, temp = NULL, lag.max = NULL)
Arguments
x
A data frame with the folloging columns: logL and invTemp, which contain the log-likelihood and inverse temperature values, respectively.
temp
Position of the temperature to be plotted.
lag.max
maximum lag at which to calculate the autocorralation function.
Value
It produces a set of autocorrelation plots.
Author(s)
Patricio Maturana Russel p.russel@auckland.ac.nz
Examples
## Not run:
data(ligoVirgoSim)
acfs(ligoVirgoSim, temp = 1:3)
## End(Not run)
pmat747/powModSel documentation built on Aug. 1, 2022, 1:07 p.m.
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| acfs | R Documentation |
Autocorrelation function
Description
This function produces the autocorrelation plot for the log-likelihood at each temperature
Usage
acfs(x, temp = NULL, lag.max = NULL)
Arguments
x |
A data frame with the folloging columns: |
temp |
Position of the temperature to be plotted. |
lag.max |
maximum lag at which to calculate the autocorralation function. |
Value
It produces a set of autocorrelation plots.
Author(s)
Patricio Maturana Russel p.russel@auckland.ac.nz
Examples
## Not run: data(ligoVirgoSim) acfs(ligoVirgoSim, temp = 1:3) ## End(Not run)
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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