Description Fields Methods See Also Examples
ModelRHLP represents an estimated RHLP model.
param
A ParamRHLP object. It contains the estimated values of the parameters.
stat
A StatRHLP object. It contains all the statistics associated to the RHLP 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
StatRHLP).
"estimatedsignal" =
Estimated signal (fields
Ex
and klas
of class StatRHLP).
"loglikelihood" =
Value of the loglikelihood for
each iteration (field stored_loglik
of class
StatRHLP).
...
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.
ParamRHLP, StatRHLP
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15  data(univtoydataset)
rhlp < emRHLP(univtoydataset$x, univtoydataset$y, K = 3, p = 1, verbose = TRUE)
# rhlp is a ModelMHMMR object. It contains some methods such as 'summary' and 'plot'
rhlp$summary()
rhlp$plot()
# rhlp has also two fields, stat and param which are reference classes as well
# Loglikelihood:
rhlp$stat$loglik
# Parameters of the polynomial regressions:
rhlp$param$beta

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