Step 0: Load package and data | Step 1: Create groups and interaction events | Step 2: Set up goldfish objects | Step 4: Estimate a model with attribute effects | Step 5: Estimate a model with structural and time effects | Step 6: Extra steps

Step 0: Load package and data | Preamble: Run a quick DyNAM in six lines | Step 1: Create data objects | Step 1a: Make node set(s) and attributes | Step 1b: Make networks | Task | Step 1c: Make dependent events | Step 1d: Make data object | Intermediate step: Visualization | Step 2: Specify and estimate model | Step 2a. Formula | Step 2b and 2c. Preprocessing and Estimation | Rate model | Remark: | Right-censored intervals | Windows effects | REM with goldfish

Step 0: Load package and data | Step 1: Create data objects | Step 1a: Define node set(s) and attributes | Step 1b: Define networks | Step 1c: Define dependent events | Step 1d: Make data object | Intermediate step: Visualisation | Step 2: Specify and estimate model | Extensions...

Effect arguments | Notation | Node or actor statistics | Structural Effects | Indegree (indeg()) | Outdegree (outdeg()) | Node embeddedness transitivity (node_trans()) | Attribute effects | Ego attribute (ego()) | Alter attribute (alter()) | Structural $+$ Attribute effect | Tertius (tertius()) | Dyadic statistics | Structural effects | Tie (tie()) | Inertia (inertia()) | Tie reciprocation (recip()) | Same value in attribute (same()) | Differences in attribute (diff()) | Similarity in attribute (sim()) | Ego Alter interaction (ego_alter_interaction()) | Tertius difference (tertius_diff()) | Closure effect statistics (Dyadic effects) | Transitivity (trans()) | Cycle (cycle()) | Common sender closure (common_sender()) | Common receiver closure (common_receiver()) | Four cycle (four()) | Mixed Transitivity (mixed_trans()) | Mixed Cycle (mixed_cycle()) | Mixed common sender closure (mixed_common_sender()) | Mixed common receiver closure (mixed_common_receiver())