ModelStMoE represents an estimated StMoE model.
A ParamStMoE object. It contains the estimated values of the parameters.
A StatStMoE object. It contains all the statistics associated to the StMoE model.
plot(what = c("meancurve", "confregions", "clusters", "loglikelihood"), ...)
The type of graph requested:
"meancurve" = Estimated mean and estimated
experts means given the input
Ey_k of class StatStMoE).
"confregions" = Estimated mean and confidence
regions. Confidence regions are computed as plus and minus twice
the estimated standard deviation (the squarre root of the field
Vary of class StatStMoE).
"clusters" = Estimated experts means (field
Ey_k) and hard partition (field
klas of class
"loglikelihood" = Value of the log-likelihood for
each iteration (field
stored_loglik of class
Other graphics parameters.
By default, all the graphs mentioned above are produced.
summary(digits = getOption("digits"))
The number of significant digits to use when printing.
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data(tempanomalies) x <- tempanomalies$Year y <- tempanomalies$AnnualAnomaly stmoe <- emStMoE(X = x, Y = y, K = 2, p = 1, threshold = 1e-4, verbose = TRUE) # stmoe is a ModelSTMoE object. It contains some methods such as 'summary' and 'plot' stmoe$summary() stmoe$plot() # stmoe has also two fields, stat and param which are reference classes as well # Log-likelihood: stmoe$stat$loglik # Parameters of the polynomial regressions: stmoe$param$beta
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