rvnchains: Number of Markov Chains Used to Generate Simulations of a...
In jsta/rv: Simulation-Based Random Variable Objects
Description
Usage
Arguments
Details
Author(s)
References
See Also
Examples
Description
Retrieves the number of mcmc chains in each components of the argument.
Usage
1
rvnchains(x)
Arguments
x
an rv object (supposed to be generated by a MCMC process)
Details
Assumes that the rv object was generated by a MCMC process. Umacs and
R2WinBUGS are compatible.
Author(s)
Jouni Kerman jouni@kerman.com
References
Kerman, J. and Gelman, A. (2007). Manipulating and Summarizing
Posterior Simulations Using Random Variable Objects. Statistics and
Computing 17:3, 235-244.
See also vignette("rv").
See Also
Examples
1
#
jsta/rv documentation built on Feb. 12, 2022, 5:13 p.m.
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Description Usage Arguments Details Author(s) References See Also Examples
Description
Retrieves the number of mcmc chains in each components of the argument.
Usage
1 | rvnchains(x)
|
Arguments
x |
an rv object (supposed to be generated by a MCMC process) |
Details
Assumes that the rv object was generated by a MCMC process. Umacs and R2WinBUGS are compatible.
Author(s)
Jouni Kerman jouni@kerman.com
References
Kerman, J. and Gelman, A. (2007). Manipulating and Summarizing Posterior Simulations Using Random Variable Objects. Statistics and Computing 17:3, 235-244.
See also vignette("rv").
See Also
Examples
1 | #
|
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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