ModelRHLP represents an estimated RHLP model.
A ParamRHLP object. It contains the estimated values of the parameters.
A StatRHLP object. It contains all the statistics associated to the RHLP model.
plot(what = c("regressors", "estimatedsignal", "loglikelihood"), ...)
The type of graph requested:
"regressors" = Polynomial regression components
pi_ik of class
"estimatedsignal" = Estimated signal (fields
klas of class StatRHLP).
"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.
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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 # Log-likelihood: rhlp$stat$loglik # Parameters of the polynomial regressions: rhlp$param$beta
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