ModelMixRHLP-class {flamingos} | R Documentation |
ModelMixRHLP represents an estimated mixture of RHLP model.
param
A ParamMixRHLP object. It contains the estimated values of the parameters.
stat
A StatMixRHLP object. It contains all the statistics associated to the MixRHLP model.
plot(what = c("estimatedsignal", "regressors", "loglikelihood"), ...)
Plot method.
what
The type of graph requested:
"estimatedsignal" =
Estimated signal (field
Ey
of class StatMixRHLP).
"regressors" =
Polynomial regression components
(fields polynomials
and pi_jkr
of class
StatMixRHLP).
"loglikelihood" =
Value of the log-likelihood for
each iteration (field stored_loglik
of class
StatMixRHLP).
...
Other graphics parameters.
By default, all the above graphs are produced.
summary(digits = getOption("digits"))
Summary method.
digits
The number of significant digits to use when printing.
data(toydataset) # Let's fit a mixRHLP model on a dataset containing 2 clusters: data <- toydataset[1:190,1:21] x <- data$x Y <- t(data[,2:ncol(data)]) mixrhlp <- cemMixRHLP(X = x, Y = Y, K = 2, R = 2, p = 1, verbose = TRUE) # mixrhlp is a ModelMixRHLP object. It contains some methods such as 'summary' and 'plot' mixrhlp$summary() mixrhlp$plot() # mixrhlp has also two fields, stat and param which are reference classes as well # Log-likelihood: mixrhlp$stat$loglik # Parameters of the polynomial regressions: mixrhlp$param$beta