summary.mocca {fdaMocca}

Summary for a mocca fit

Description

Takes a mocca object produced by mocca() and produces various useful summaries from it.

Usage

## S3 method for class 'mocca'
summary(object,...)

## S3 method for class 'summary.mocca'
print(x,digits = max(3, getOption("digits") - 3),...)

Arguments

object

a fitted mocca object as produced by mocca().

x

a summary.mocca object produced by summary.mocca().

digits

controls the number of digits printed in the output.

...

other arguments.

Value

summary.mocca produces the following list of summary information for a mocca object.

N

number of observations

K

number of clusters

r

number of scalar covariates if model with covariates

sig2

residual variance estimate for the functional data and for the scalar covariates (if the model is with covariates)

p

total number of the estimated parameters in the model

tab_numOfCurves_cluster

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.

covariates_est

mean value estimates for scalar covariates given cluster belongings (if the model is with covariates)

t.probs

estimated probabilities of belonging to each cluster

crita

a table with the maximized log likelihood, AIC, BIC and Shannon entropy values of the fitted model

Author(s)

Per Arnqvist, Sara Sjöstedt de Luna, Natalya Pya Arnqvist

See Also

mocca

Examples

## see ?mocca help files