This function defines longitudinal mediation models as class-specific models (submodels) for a longitudinal multiple group model.
getsub.MED_m(
dat,
nClass,
grp_var,
t_var,
y_var,
curveFun,
records,
m_var,
x_var,
x_type,
starts,
res_cor
)
A list of manifest and latent variables and paths for an mxModel object.
A wide-format data frame, with each row corresponding to a unique ID. It contains the observed variables with
repeated measurements and occasions for each longitudinal process, and time-invariant covariates (TICs) if any. It takes
the value passed from getMGroup()
.
An integer specifying the number of manifested classes for the multiple group model. It takes the value passed
from getMGroup()
.
A string specifying the column that indicates manifested classes. It takes the value passed from getMGroup()
.
A vector of strings, with each element representing the prefix for column names related to the time variable for the
corresponding longitudinal variable at each study wave. It takes the value passed from getMGroup()
.
A string specifying the prefix of the column names corresponding to the outcome variable at each study wave. It takes the value
passed from getMGroup()
.
A string specifying the functional form of the growth curve. Supported options include: "linear" (or "LIN"),
and "bilinear spline" (or "BLS"). It takes the value passed from getMGroup()
.
A list of numeric vectors, with each vector specifying the indices of the observed study waves for
the corresponding longitudinal variable. It takes the value passed from getMGroup()
.
A string specifying the prefix of the column names corresponding to the mediator variable at each study wave.
It takes the value passed from getMGroup()
.
A string specifying the baseline predictor if x_type = "baseline"
, or the prefix of the column names
corresponding to the predictor variable at each study wave if x_type = "longitudinal"
. It takes the value passed from getMGroup()
.
A string indicating the type of predictor variable used in the model. Supported values are "baseline"
and "longitudinal"
. It takes the value passed from getMGroup()
.
A list of initial values for the parameters, either takes the value passed from getMGroup()
or derived by the
helper function getMGroup.initial()
.
A numeric value or vector for user-specified residual correlation between any two longitudinal processes to calculate
the corresponding initial value. It takes the value passed from getMGroup()
.