R: Analyzing data using a saturate model

saturateMx {semTools} | R Documentation

## Analyzing data using a saturate model

### Description

Analyzing data using a saturate model by full-information maximum likelihood. In the saturate model, all means and covariances are free if items are continuous. For ordinal variables, their means are fixed as 0 and their variances are fixed as 1–their covariances and thresholds are estimated. In multiple-group model, all means are variances are separately estimated.

### Usage

    saturateMx(data, groupLab = NULL)

### Arguments

`data` | The target data frame
`groupLab` | The name of grouping variable

### Value

The `MxModel` object which contains the analysis result of the saturate model.

### Author(s)

Sunthud Pornprasertmanit (psunthud@gmail.com)

### See Also

`nullMx`, `fitMeasuresMx`, `standardizeMx`

### Examples

    ## Not run:
    library(OpenMx)
    data(demoOneFactor)
    satModel <- saturateMx(demoOneFactor)

    ## End(Not run)

[Package semTools version 0.4-14 Index]