ClustMMDD (version 1.0.3)

setEmOptions: Set Expectation and Maximization options.

Description

Set Expectation and Maximization options.

Usage

setEmOptions(emOptions = list(epsi = NULL, typeSmallEM = NULL, typeEM = NULL,
  nberSmallEM = NULL, nberIterations = NULL, nberMaxIterations = NULL,
  putThreshold = NULL))

Arguments

emOptions

A list of options needed by the Expectation and maximization algorithm :

• epsi :

{In [1e-5, 1e-20], it is the upper bound of the relative increase in the log-likelihood.} typeSmallEM :{In c(0, 1, 2) : 0 = classic E

Details

Use setEmOptions() to set all options to default.

References

• http://projecteuclid.org/euclid.ejs/1379596773{Dominique Bontemps and Wilson Toussile (2013)} : Clustering and variable selection for categorical multivariate data. Electronic Journal of Statistics, Volume 7, 2344-2371, ISSN.
• http://link.springer.com/article/10.1007%2Fs11634-009-0043-x{Wilson Toussile and Elisabeth Gassiat (2009)} : Variable selection in model-based clustering using multilocus genotype data. Adv Data Anal Classif, Vol 3, number 2, 109-134.

See Also

EmOptions for getting the current EM options.

Examples

EmOptions()
setEmOptions(list(epsi = 1e-6))
EmOptions()
setEmOptions()	# To set default values
EmOptions()