Description Fields Methods See Also Examples
ModelSNMoE represents an estimated SNMoE model.
param
A ParamSNMoE object. It contains the estimated values of the parameters.
stat
A StatSNMoE object. It contains all the statistics associated to the SNMoE model.
plot(what = c("meancurve", "confregions", "clusters", "loglikelihood"), ...)
Plot method.
what
The type of graph requested:
"meancurve" =
Estimated mean and estimated
experts means given the input X
(fields Ey
and
Ey_k
of class StatSNMoE).
"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 StatSNMoE).
"clusters" =
Estimated experts means (field
Ey_k
) and hard partition (field klas
of class
StatSNMoE).
"loglikelihood" =
Value of the loglikelihood for
each iteration (field stored_loglik
of class
StatSNMoE).
...
Other graphics parameters.
By default, all the graphs mentioned above are produced.
summary(digits = getOption("digits"))
Summary method.
digits
The number of significant digits to use when printing.
ParamSNMoE, StatSNMoE
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17  data(tempanomalies)
x < tempanomalies$Year
y < tempanomalies$AnnualAnomaly
snmoe < emSNMoE(X = x, Y = y, K = 2, p = 1, verbose = TRUE)
# snmoe is a ModelSNMoE object. It contains some methods such as 'summary' and 'plot'
snmoe$summary()
snmoe$plot()
# snmoe has also two fields, stat and param which are reference classes as well
# Loglikelihood:
snmoe$stat$loglik
# Parameters of the polynomial regressions:
snmoe$param$beta

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