Description Fields Methods See Also Examples
ModelMixHMMR represents an estimated mixture of HMMR model.
param
A ParamMixHMMR object. It contains the estimated values of the parameters.
stat
A StatMixHMMR object. It contains all the statistics associated to the MixHMMR model.
plot(what = c("clustered", "smoothed", "loglikelihood"), ...)
Plot method
what
The type of graph requested:
"clustered" =
Clustered curves (field
klas
of class StatMixHMMR).
"smoothed" =
Smoothed signal (field
smoothed
of class StatMixHMMR).
"loglikelihood" =
Value of the log-likelihood for
each iteration (field stored_loglik
of class
StatMixHMMR).
...
Other graphics parameters.
summary(digits = getOption("digits"))
Summary method.
digits
The number of significant digits to use when printing.
ParamMixHMMR, StatMixHMMR
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | data(toydataset)
x <- toydataset$x
Y <- t(toydataset[,2:ncol(toydataset)])
mixhmmr <- emMixHMMR(X = x, Y = Y, K = 3, R = 3, p = 1, verbose = TRUE)
# mixhmmr is a ModelMixHMMR object. It contains some methods such as 'summary' and 'plot'
mixhmmr$summary()
mixhmmr$plot()
# mixhmmr has also two fields, stat and param which are reference classes as well
# Log-likelihood:
mixhmmr$stat$loglik
# Parameters of the polynomial regressions:
mixhmmr$param$beta
|
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.