attach_covariates_df    Attach exogenous covariates to a pre-built
                        risk-set data frame
compare_rem_models      Forest plot comparing fitted REM coefficients
compute_hazard_surface
                        Compute the full hazard surface over all
                        directed dyads
compute_seq_stat_means
                        Compute sufficient-statistic means for a
                        sequence without fitting a REM
cov_dyad_static         Create a static dyad-level covariate
cov_dyad_temporal       Create a temporal dyad-level covariate
cov_node_static         Create a static node-level covariate
cov_node_temporal       Create a temporal node-level covariate
edgelist                Militarized Interstate Dispute conflict
                        edgelist
fit_rem                 Fit a Relational Event Model to an edgelist
fit_rem_sep             Fit a Separable Relational Event Model
llm_call                Call an LLM provider
llm_provider_anthropic
                        Create an Anthropic Claude LLM provider
llm_provider_bedrock    Create an AWS Bedrock LLM provider
llm_provider_gemini     Create a Google Gemini LLM provider
llm_provider_grok       Create an xAI Grok LLM provider
llm_provider_mock       Create a mock LLM provider for testing
llm_provider_ollama     Create a local or remote Ollama LLM provider
llm_provider_openai     Create an OpenAI LLM provider
llm_provider_openai_compat
                        Create a generic OpenAI-compatible LLM provider
make_behavior_queries   Generate plain-language behavioral guidelines
                        from empirical sufficient stats
make_query_predict      Query factory: LLM predicts the next event
make_query_roleplay_random
                        Query factory: LLM roleplays as a randomly
                        assigned node
make_query_roleplay_sender
                        Query factory: LLM roleplays as the empirical
                        sender
make_stat_means         Compute per-term mean sufficient statistics for
                        realized events
make_suffstats          Extract sufficient-statistic means from a REM
                        risk-set data frame
mock_strategy_highest_indegree
                        Mock strategy: pick the valid target with the
                        highest in-degree
mock_strategy_max_id    Mock strategy: always pick the largest valid
                        target
mock_strategy_min_id    Mock strategy: always pick the smallest valid
                        target
n_nodes                 Number of nodes in the MID edgelist
prepare_edgelist        Normalise a raw edgelist to the standard
                        three-column format
rem_cfg                 Create a prompt configuration object
rem_covariates          Collect covariate objects for use in fit_rem
run_llm_rem             Generate an LLM event sequence and fit a REM
run_multiagent_rem      Run a multi-agent REM-LLM conflict simulation
