ModelSNMoE represents an estimated SNMoE model.
A ParamSNMoE object. It contains the estimated values of the parameters.
A StatSNMoE object. It contains all the statistics associated to the SNMoE 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 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
"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.
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 # Log-likelihood: snmoe$stat$loglik # Parameters of the polynomial regressions: snmoe$param$beta
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.