Introduction | Some technical details | The pwSEM function | data structure | Example 1: dependent endogenous errors, normally distributed variables and no nesting structure in the data | Example 2: dependent endogenous errors from marginalized latents, Poisson distributed variables and no nesting structure in the data | Example 3: dependent errors involving endogenous variables, normally-distributed data and with a 2-level grouping structure and using smoothing splines for the d-separation tests | DAG.to.MAG.in.pwSEM | MAG.to.DAG.in.pwSEM | generalized covariance function and its permutation version | The view.paths function | The basiSet.MAG function | The get.AIC function | The MCX2 function | The CI.algorithm() function | The vanishing.tetrads function