mixtools (version 1.0.1)

summary.mixEM: Summarizing EM mixture model fits

Description

summary method for class mixEM.

Usage

## S3 method for class 'mixEM':
summary(object, digits=6, \dots)

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.

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

Details

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

See Also

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

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)