R: Summarizing EM mixture model fits

summary.mixEM {mixtools} | R Documentation

## 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)

[Package mixtools version 1.2.0 Index]