emxGrowthModel {EasyMx}

Create a latent growth curve model

Description

This function creates a latent growth curve model as an MxModel object.

Usage

emxGrowthModel(model, data, name, run=FALSE, identification, use, ordinal, times)
emxModelGrowth(model, data, name, run=FALSE, identification, use, ordinal, times)

Arguments

model

character or numeric. See Details.

data

data used for the model

name

character. Optional name of the model created.

run

logical. Whether to run the model before returning.

identification

Not yet implemented. How the model is identified. Currently ignored.

use

character vector. The names of the variables to use.

ordinal

character vector. The names of the ordinal variables.

times

optional character or numeric vector. Either the numeric times of measurement or the names of the variables in data that give the times of measurement.

Details

The model argument can be either a character or a number that tells the kind of growth curve to make. If it is a character it currently must be one of "Intercept", "Linear", "Quadratic", "Cubic", "Quartic", or "Quintic", and it produces a polynomial growth curve of the corresponding type. If it is a number, the function produces a polynomial growth curve of the corresponding order. Zero is an intercept only, one is linear, two is quadratic; and so on.

When missing, the times are assumed to start at zero and increment by one until the number of variables is completed.

Value

An MxModel

See Also

emxFactorModel, emxGrowthModel

Examples

   
# Example
require(EasyMx)
data(myLongitudinalData)
## Not run: 
mod <- emxGrowthModel('Linear', data=myLongitudinalData, use=names(myLongitudinalData), run=TRUE)

## End(Not run)