| 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. |