friend_data             Friendship network data
path.networksem         Calculate a mediation effect from a networksem
                        model
sem.net                 Fit a Structural Equation Model (SEM) with both
                        network and non-network data by incorporating
                        node-level network statistics as variables.
sem.net.addvar          Compute user-specified network statistics for a
                        specific network.
sem.net.addvar.influential
                        Compute a list of user-specified network
                        statistics using the "influential" package and
                        add it to the existing data.
sem.net.addvar.stat     Compute a list of user-specified network
                        statistics values using the "sna" package and
                        add them to the non-network data.
sem.net.edge            Fit a Structural Equation Model (SEM) with both
                        network and non-network data by transforming
                        nonnetwork data into paired values
                        corresponding to network edge values.
sem.net.edge.lsm        Fit a Structural Equation Model (SEM) with both
                        network and non-network data by transforming
                        nonnetwork data into paired values
                        corresponding to network latent distance pairs.
sem.net.lsm             Fit a Structural Equation Model (SEM) with both
                        network and non-network data by incorporating
                        network latent positions as variables.
summary.networksem      Summarize output from networksem functions
                        includeing sem.net, sem.net.lsm, sem.net.edge,
                        sem.net.edge.lsm.
