ModelMRHLP represents an estimated MRHLP model.
A ParamMRHLP object. It contains the estimated values of the parameters.
A StatMRHLP object. It contains all the statistics associated to the MRHLP 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 StatMRHLP).
"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(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$plot() # mrhlp has also two fields, stat and param which are reference classes as well # Log-likelihood: mrhlp$stat$loglik # Parameters of the polynomial regressions: mrhlp$param$beta
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