View source: R/emxModelBuilders.R

emxGrowthModel | R Documentation |

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

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

`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 |

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.

An MxModel

emxFactorModel, emxGrowthModel

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

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