Estimation and Simulation of Multi-Binary Response Models
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Documentation for package ‘defm’ version 0.1-0
Help Pages
| +.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) |
| 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 |