Summarizing EM mixture model fits

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)
#> The following objects are masked from faithful (pos = 10):
#> 
#>     eruptions, waiting
#> The following objects are masked from faithful (pos = 11):
#> 
#>     eruptions, waiting
#> The following objects are masked from faithful (pos = 12):
#> 
#>     eruptions, waiting
set.seed(100)
out <- normalmixEM(waiting, mu=c(50,80), sigma=c(5,5), lambda=c(.5,.5))
#> number of iterations= 15 
summary(out)
#> summary of normalmixEM object:
#>           comp 1    comp 2
#> lambda  0.360885  0.639115
#> mu     54.614805 80.091037
#> sigma   5.871184  5.867761
#> loglik at estimate:  -1034.002