This function is a wrapper around `mx_mixture`

, adding the
default arguments of `growth`

to simplify the
specification of growth mixture models. This function is only
useful if all the latent variables in the model are growth factors.

mx_growth_mixture(model, classes = 1L, data = NULL, run = TRUE, ...)

model | Syntax for the model; either a character string, or a list of
character strings, or a list of |
---|---|

classes | A vector of integers, indicating which class solutions to
generate. Defaults to 1L. E.g., |

data | The data.frame to be used for model fitting. |

run | Logical, whether or not to run the model. If |

... | Additional arguments, passed to functions. |

Returns an `mxModel`

.

if (FALSE) { data("empathy") df <- empathy[1:6] mx_growth_mixture(model = "i =~ 1*ec1 + 1*ec2 + 1*ec3 +1*ec4 +1*ec5 +1*ec6 s =~ 0*ec1 + 1*ec2 + 2*ec3 +3*ec4 +4*ec5 +5*ec6 ec1 ~~ vec1*ec1 ec2 ~~ vec2*ec2 ec3 ~~ vec3*ec3 ec4 ~~ vec4*ec4 ec5 ~~ vec5*ec5 ec6 ~~ vec6*ec6 i ~~ 0*i s ~~ 0*s i ~~ 0*s", classes = 2, data = df) -> res }