clusterAlgoPredict: Create an instance of the ['ClusterAlgoPredict'] class

In MixAll: Clustering and Classification using Model-Based Mixture Models

Description

A prediction algorithm is a two stage algorithm. In the first stage we perform a Monte Carlo algorithm for simulating both missing values and latent class variables. In the second stage, we simulate or impute missing values.

Usage

clusterAlgoPredict(algo = "EM", nbIterBurn = 50, nbIterLong = 100,
  epsilon = 1e-07)

Arguments

algo	character string with the second stage estimation algorithm. Possible values are "EM", "SemiSEM". Default value is "EM".
nbIterBurn	Integer defining the maximal number of burning iterations. Default value is 50.
nbIterLong	Integer defining the maximal number of iterations. Default value is 100.
epsilon	Real defining the epsilon value for the algorithm. Not used with "semiSEM" algorithms. Default value is 1.e-7.

Details

The epsilon value is not used when the algorithm is "SemiSEM".

Value

a [ClusterAlgoPredict] object

Author(s)

Serge Iovleff

Examples

clusterAlgoPredict()
clusterAlgoPredict(algo="SemiSEM", nbIterBurn=0)
clusterAlgoPredict(algo="EM", epsilon = 1e-06)

MixAll documentation built on Sept. 12, 2019, 5:05 p.m.