saturateMx: 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

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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

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

## End(Not run)

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

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