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create an algo object required by mixtCompLearn and mixtCompPredict from RMixtComp.
mixtCompLearn
mixtCompPredict
RMixtComp
createAlgo( nbBurnInIter = 50, nbIter = 50, nbGibbsBurnInIter = 50, nbGibbsIter = 50, nInitPerClass = 10, nSemTry = 20, confidenceLevel = 0.95, ratioStableCriterion = 0.99, nStableCriterion = 20 )
Number of iterations of the burn-in part of the SEM algorithm.
Number of iterations of the SEM algorithm.
Number of iterations of the burn-in part of the Gibbs algorithm.
Number of iterations of the Gibbs algorithm.
Number of individuals used to initialize each cluster (default = 10).
Number of try of the algorithm for avoiding an error.
confidence level for confidence bounds for parameter estimation
stability partition required to stop earlier the SEM
number of iterations of partition stability to stop earlier the SEM
a list with the parameters values
# NOT RUN { # default values algo <- createAlgo() # change some values algo <- createAlgo(nbIter = 200) # }
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