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

`mxModel`

objects. See Details.- classes
A vector of integers, indicating which class solutions to generate. Defaults to 1L. E.g.,

`classes = 1:6`

,`classes = c(1:4, 6:8)`

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

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

`run = TRUE`

, the function calls`mixture_starts`

and`run_mx`

.- ...
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
}
```