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ClustMMDD (version 1.0.3)

read.or.compute: Read a given model from a file or compute the estimates of paramaters if not found.

Description

Read a given model from a file or compute the estimates of the parameters if not found. This function is not available for users.

Usage

read.or.compute(xdata, xK, xS, xReferenceModel, xReferenceModelsIndex,
  xNberExploredModels, xFileNameExploredModels, cte = as.double(1),
  header = TRUE)

Arguments

xdata
A list of dataset and several description paramaters such as frequencies.
xK
The number of components (clusters or populations).
xS
The subset of relevant variables.
xReferenceModel
The indicator of if the model is a reference model in an exclusion step of the backward-stepwise explorer.
xReferenceModelsIndex
The vector indicating the models that have once been a reference at an exclusion step.
xNberExploredModels
The current number of explored models.
xFileNameExploredModels
The explored models.
cte
A constant real.
header
Indication of the presence of header in the file.

Details

Not available for users.

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

dimJump.R for data driven calibration of the penality function, and model.selection.R for model selection.