NMixPlugDA

object

vector, matrix or data frame with observations to be clustered


  It performs discriminant analysis based on 
  posterior summary for (re-labeled) mixture
  components in a model with fixed number of components fitted with
  <code><a rd-options="" href="/link/NMixMCMC?package=mixAK&version=4.2" data-mini-rdoc="mixAK::NMixMCMC">NMixMCMC</a></code> function.


multivariate

smooth

cluster

Contains a mixture of statistical methods including the MCMC methods to analyze normal mixtures. Additionally, model based clustering methods are implemented to perform classification based on (multivariate) longitudinal (or otherwise correlated) data. The basis for such clustering is a mixture of multivariate generalized linear mixed models.

NMixPlugDA: Discriminant analysis based on plug-in estimates from the mixture model

Description

Usage

Arguments

Value

See Also