semTools (version 0.4-13)

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

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.

See Also

nullMx, fitMeasuresMx, standardizeMx

Examples

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