NMixCluster {mixAK} | R Documentation |
Clustering based on the MCMC output of the mixture model
Description
TO BE ADDED.
This function only works for models with a fixed number of mixture components.
Usage
NMixCluster(object, ...)
## Default S3 method:
NMixCluster(object, ...)
## S3 method for class 'GLMM_MCMC'
NMixCluster(object,
prob = c("poster.comp.prob", "quant.comp.prob", "poster.comp.prob_b",
"quant.comp.prob_b", "poster.comp.prob_u"),
pquant = 0.5, HPD = FALSE, pHPD = 0.95, pthresh = -1, unclass.na = FALSE, ...)
Arguments
object |
an object of apropriate class. |
prob |
character string which identifies estimates of the component probabilities to be used for clustering. |
pquant |
when |
HPD |
logical value. If |
pHPD |
credible level of the HPD credible interval, see argument |
pthresh |
an optional threshold for the estimated component
probability (when |
unclass.na |
logical value taken into account when |
... |
optional additional arguments. |
Value
A data.frame
with three (when HPD
is FALSE
) or five
(when HPD
is TRUE
) columns.
Author(s)
Arnošt Komárek arnost.komarek@mff.cuni.cz
See Also
Examples
## TO BE ADDED.