| +.DEFM | Model specification for DEFM | 
| DEFM | Discrete Exponential Family Model (DEFM) | 
| defm | Discrete Exponential Family Model (DEFM) | 
| defm-names | Access to the names of a model's datasets | 
| defm_mle | Maximum Likelihood Estimation of DEFM | 
| defm_motif_census | Motif census | 
| defm_terms | Model specification for DEFM | 
| get_stats | Get sufficient statistics counts | 
| get_X_names | Access to the names of a model's datasets | 
| get_Y_names | Access to the names of a model's datasets | 
| init_defm | Discrete Exponential Family Model (DEFM) | 
| loglike_defm | Log-Likelihood of DEFM | 
| logodds | Maximum Likelihood Estimation of DEFM | 
| morder_defm | Discrete Exponential Family Model (DEFM) | 
| motif_census | Motif census | 
| ncol_defm_x | Discrete Exponential Family Model (DEFM) | 
| ncol_defm_y | Discrete Exponential Family Model (DEFM) | 
| new_defm | Discrete Exponential Family Model (DEFM) | 
| nobs_defm | Discrete Exponential Family Model (DEFM) | 
| nrow_defm | Discrete Exponential Family Model (DEFM) | 
| nterms_defm | Discrete Exponential Family Model (DEFM) | 
| print_stats | Discrete Exponential Family Model (DEFM) | 
| rule_not_one_to_zero | Model specification for DEFM | 
| sim_defm | Simulate data using a DEFM | 
| summary_table | Maximum Likelihood Estimation of DEFM | 
| terms_defm | Model specification for DEFM | 
| term_defm_fe | Model specification for DEFM | 
| term_defm_logit_intercept | Model specification for DEFM | 
| term_defm_ones | Model specification for DEFM | 
| term_defm_transition | Model specification for DEFM | 
| term_defm_transition_formula | Model specification for DEFM | 
| valentesns | Valente's SNS data | 
| valentesnsList | Valente's SNS data |