mcmcextract-class: Finmix 'mcmcextract' class
In simonsays1980/finmix: An R package for Bayesian estimation of finite mixture distributions
Description
This is a leight-weighted class containing the major results from MCMC
sampling to calculate model moments from MCMC samples. Note that momentarily
only methods for the multivariate Normal mixture are implemented.
Slots
distA character defining the finite mixture model that has been used
in MCMC sampling.
KAn integer specifying the number of components of the mixture model.
rAn integer specifying the number of dimensions of the mixture model.
parA list storing the sample component parameters from MCMC sampling.
weightA n array storing the sample weight parameters from MCMC
sampling.
simonsays1980/finmix documentation built on Dec. 23, 2021, 2:25 a.m.
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Description
This is a leight-weighted class containing the major results from MCMC sampling to calculate model moments from MCMC samples. Note that momentarily only methods for the multivariate Normal mixture are implemented.
Slots
distA character defining the finite mixture model that has been used in MCMC sampling.
KAn integer specifying the number of components of the mixture model.
rAn integer specifying the number of dimensions of the mixture model.
parA list storing the sample component parameters from MCMC sampling.
weightA n array storing the sample weight parameters from MCMC sampling.
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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