To create a piecewise SEM model in R, you will need to install the piecewiseSEM package.
Here is an example code to build a piecewise SEM model:
main.r1041 chars32 lines
In this example, y is the response variable and x1, x2, x3, x4, and x5 are the predictor variables. We also have three thresholds (10 and 20) applied to x3. The path_matrix describes the hypothesized relationships between the variables, and the method argument specifies whether to use the bootstrap method for standard errors.
The piecewise_model function will estimate the model coefficients and generate a summary.
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