mx_growth_mixture {tidySEM} | R Documentation |
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
.
## Not run: 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 ## End(Not run)