moments_cc: Calculate moments on samples of multivariate mixture models
In simonsays1980/finmix: An R package for Bayesian estimation of finite mixture distributions
Description
Usage
Arguments
Value
See Also
Description
This function calculates the moments for MCMC samples of multivariate
mixture models. Moments like means, standard deviations, kurtosis and
skewness are computed for each iteration in MCMC sampling. The moments are
used when plotting the traces of an MCMC sample output.
Usage
1
moments_cc(classS4)
Arguments
classS4
An mcmcoutput class containing the MCMC samples.
Value
A named list with vectors containing the data moments for each
iteration in the MCMC sample.
See Also
-
mcmcoutput for the mcmcoutput class definition
-
mixturemcmc() for performing MCMC sampling
-
plotTraces() for the calling function
simonsays1980/finmix documentation built on Dec. 23, 2021, 2:25 a.m.
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Description Usage Arguments Value See Also
Description
This function calculates the moments for MCMC samples of multivariate mixture models. Moments like means, standard deviations, kurtosis and skewness are computed for each iteration in MCMC sampling. The moments are used when plotting the traces of an MCMC sample output.
Usage
1 | moments_cc(classS4)
|
Arguments
classS4 |
An |
Value
A named list with vectors containing the data moments for each iteration in the MCMC sample.
See Also
-
mcmcoutput for the
mcmcoutputclass definition -
mixturemcmc()for performing MCMC sampling -
plotTraces()for the calling function
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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