Description Fields Methods See Also Examples
ModelMixRHLP represents an estimated mixture of RHLP model.
param
A ParamMixRHLP object. It contains the estimated values of the parameters.
stat
A StatMixRHLP object. It contains all the statistics associated to the MixRHLP model.
plot(what = c("estimatedsignal", "regressors", "loglikelihood"), ...)
Plot method.
what
The type of graph requested:
"estimatedsignal" =
Estimated signal (field
Ey
of class StatMixRHLP).
"regressors" =
Polynomial regression components
(fields polynomials
and pi_jkr
of class
StatMixRHLP).
"loglikelihood" =
Value of the loglikelihood for
each iteration (field stored_loglik
of class
StatMixRHLP).
...
Other graphics parameters.
By default, all the above graphs are produced.
summary(digits = getOption("digits"))
Summary method.
digits
The number of significant digits to use when printing.
ParamMixRHLP, StatMixRHLP
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20  data(toydataset)
# Let's fit a mixRHLP model on a dataset containing 2 clusters:
data < toydataset[1:190,1:21]
x < data$x
Y < t(data[,2:ncol(data)])
mixrhlp < cemMixRHLP(X = x, Y = Y, K = 2, R = 2, p = 1, verbose = TRUE)
# mixrhlp is a ModelMixRHLP object. It contains some methods such as 'summary' and 'plot'
mixrhlp$summary()
mixrhlp$plot()
# mixrhlp has also two fields, stat and param which are reference classes as well
# Loglikelihood:
mixrhlp$stat$loglik
# Parameters of the polynomial regressions:
mixrhlp$param$beta

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