Function reference • defm

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

Reference