ModelRHLP-class function

A Reference Class which represents a fitted RHLP model.

ModelRHLP represents an estimated RHLP model. class

Fields

• 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.

Methods

• 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 log-likelihood 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.
  

Examples

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

See Also

ParamRHLP , StatRHLP