Internal: Estimate the structural coefficients
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 )
.approach_nl |
Character string. Approach used to estimate nonlinear structural relationships. One of: "sequential" or "replace". Defaults to "sequential". |
.approach_paths |
Character string. Approach used to estimate the
structural coefficients. One of: "OLS" or "2SLS". If "2SLS", instruments
need to be supplied to |
.csem_model |
A (possibly incomplete) cSEMModel-list. |
.H |
The (N x J) matrix of construct scores. |
.normality |
Logical. Should joint normality of
[η_(1:p); ζ; ε]
be assumed in the nonlinear model? See (Dijkstra and Schermelleh-Engel 2014) for details.
Defaults to |
.P |
A (J x J) construct variance-covariance matrix (possibly disattenuated). |
.Q |
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.
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