Description Fields Methods See Also Examples
ModelMRHLP represents an estimated MRHLP model.
param
A ParamMRHLP object. It contains the estimated values of the parameters.
stat
A StatMRHLP object. It contains all the statistics associated to the MRHLP model.
plot(what = c("regressors", "estimatedsignal", "loglikelihood"), ...)
Plot method.
what
The type of graph requested:
"regressors" =
Polynomial regression components
(fields polynomials
and pi_ik
of class
StatMRHLP).
"estimatedsignal" =
Estimated signal (fields
Ex
and klas
of class StatMRHLP).
"loglikelihood" =
Value of the loglikelihood for
each iteration (field stored_loglik
of class
StatMRHLP).
...
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.
ParamMRHLP, StatMRHLP
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16  data(multivtoydataset)
mrhlp < emMRHLP(multivtoydataset$x, multivtoydataset[,c("y1", "y2", "y3")],
K = 5, p = 1, verbose = TRUE)
# mrhlp is a ModelMRHLP object. It contains some methods such as 'summary' and 'plot'
mrhlp$summary()
mrhlp$plot()
# mrhlp has also two fields, stat and param which are reference classes as well
# Loglikelihood:
mrhlp$stat$loglik
# Parameters of the polynomial regressions:
mrhlp$param$beta

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