Estimates the coefficients of the structural model (nonlinear and linear) using OLS, 2SLS. The latter currently work for linear models only.
estimatePath(
.approach_nl = args_default()$.approach_nl,
.approach_paths = args_default()$.approach_paths,
.csem_model = args_default()$.csem_model,
.H = args_default()$.H,
.normality = args_default()$.normality,
.P = args_default()$.P,
.Q = args_default()$.Q
)Character string. Approach used to estimate nonlinear structural relationships. One of: "sequential" or "replace". Defaults to "sequential".
Character string. Approach used to estimate the
structural coefficients. One of: "OLS" or "2SLS". If "2SLS", instruments
need to be supplied to .instruments. Defaults to "OLS".
A (possibly incomplete) cSEMModel-list.
The (N x J) matrix of construct scores.
Logical. Should joint normality of
\([\eta_{1:p}; \zeta; \epsilon]\)
be assumed in the nonlinear model? See Dijkstra2014cSEM for details.
Defaults to FALSE. Ignored if the model is not nonlinear.
A (J x J) construct variance-covariance matrix (possibly disattenuated).
A vector of composite-construct correlations with element names equal to the names of the J construct names used in the measurement model. Note Q^2 is also called the reliability coefficient.
A named list containing the estimated structural coefficients, the R2, the adjusted R2, and the VIF's for each regression.