summary.mixEM: Summarizing EM mixture model fits

In mixtools: Tools for Analyzing Finite Mixture Models

Summarizing EM mixture model fits

Description

summary method for class mixEM.

Usage

## S3 method for class 'mixEM'
summary(object, digits=6, ...)

Arguments

object	an object of class mixEM such as a result of a call to normalmixEM
digits	Significant digits for printing values
...	further arguments passed to print method.

Details

summary.mixEM prints parameter estimates for each component of a fitted mixture model. The estimates printed vary with the type of model.

Value

The function summary.mixEM prints the final loglikelihood value at the solution as well as a matrix of values for each component that could include:

lambda	The estimated mixing weights
mu	The estimated mean parameters
sigma	The estimated standard deviations
theta	The estimated multinomial parameters
beta	The estimated regression parameters

See Also

normalmixEM, logisregmixEM, multmixEM, mvnormalmixEM, poisregmixEM, regmixEM, regmixEM.lambda, regmixEM.loc, regmixEM.mixed, regmixEM.chgpt, repnormmixEM, expRMM_EM, weibullRMM_SEM

Examples

data(faithful)
attach(faithful)
set.seed(100)
out <- normalmixEM(waiting, mu=c(50,80), sigma=c(5,5), lambda=c(.5,.5))
summary(out)

mixtools documentation built on April 12, 2025, 2:31 a.m.