read.or.compute {ClustMMDD} | R Documentation |
Read a given model from a file or compute the estimates of the parameters if not found. This function is not available for users.
read.or.compute(xdata, xK, xS, xReferenceModel, xReferenceModelsIndex, xNberExploredModels, xFileNameExploredModels, cte = as.double(1), header = TRUE)
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. |
Not available for users.
Wilson Toussile
Dominique Bontemps and Wilson Toussile (2013) : Clustering and variable selection for categorical multivariate data. Electronic Journal of Statistics, Volume 7, 2344-2371, ISSN.
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.
dimJump.R
for data driven calibration of the penality function, and
model.selection.R
for model selection.