Takes a mocca object produced by mocca() and produces various useful
summaries from it.
# S3 method for mocca
summary(object,...)# S3 method for summary.mocca
print(x,digits = max(3, getOption("digits") - 3),...)
summary.mocca produces the following list of summary information for a mocca object.
number of observations
number of clusters
number of scalar covariates if model with covariates
residual variance estimate for the functional data and for the scalar covariates (if the model is with covariates)
total number of the estimated parameters in the model
number of objects/curves in each cluster as a table. Here 'hard' clustering is applied, where each object/curve belongs to a cluster with the highest posterior probability.
mean value estimates for scalar covariates given cluster belongings (if the model is with covariates)
estimated probabilities of belonging to each cluster
a table with the maximized log likelihood, AIC, BIC and Shannon entropy values of the fitted model
a fitted mocca object as produced by mocca().
a summary.mocca object produced by summary.mocca().
controls the number of digits printed in the output.
other arguments.
Per Arnqvist, Sara Sjöstedt de Luna, Natalya Pya Arnqvist
mocca