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. |