ModelMixHMM-class: A Reference Class which represents a fitted Mixture of HMM...

In flamingos: Functional Latent Data Models for Clustering Heterogeneous Curves ('FLaMingos')

Description

ModelMixHMM represents an estimated mixture of HMM model.

Fields

param

A ParamMixHMM object. It contains the estimated values of the parameters.

stat

A StatMixHMM object. It contains all the statistics associated to the MixHMM model.

Methods

plot(what = c("clustered", "smoothed", "loglikelihood"), ...)

Plot method

what

The type of graph requested:

• "clustered" = Clustered curves (field klas of class StatMixHMM).

• "smoothed" = Smoothed signal (field smoothed of class StatMixHMM).

• "loglikelihood" = Value of the log-likelihood for each iteration (field stored_loglik of class StatMixHMM).

...

Other graphics parameters.

summary(digits = getOption("digits"))

Summary method.

digits

The number of significant digits to use when printing.

See Also

ParamMixHMM, StatMixHMM

Examples

data(toydataset)
Y <- t(toydataset[,2:ncol(toydataset)])

mixhmm <- emMixHMM(Y = Y, K = 3, R = 3, verbose = TRUE)

# mixhmm is a ModelMixHMM object. It contains some methods such as 'summary' and 'plot'
mixhmm$summary()
mixhmm$plot()

# mixhmm has also two fields, stat and param which are reference classes as well

# Log-likelihood:
mixhmm$stat$loglik

# Means
mixhmm$param$mu

flamingos documentation built on Aug. 6, 2019, 5:10 p.m.