run_trial_ddm_2b: Run a single trial of the 2-boundary DDM simulation

In eam: Evidence Accumulation Models

Run a single trial of the 2-boundary DDM simulation

Description

This function runs a single trial of the 2-boundary DDM simulation using the provided item formulas and trial settings. It's a wrapper around the core C++ function for 2-boundary DDM.

Usage

run_trial_ddm_2b(
  trial_setting,
  item_formulas,
  n_items,
  max_reached,
  max_t,
  dt,
  noise_mechanism,
  noise_factory,
  trajectories = FALSE
)

Arguments

trial_setting	A list of named values representing the trial settings
item_formulas	A list of formulas defining the item parameters
n_items	The number of items to simulate
max_reached	The threshold for evidence accumulation
max_t	The maximum time to simulate
dt	The step size for each increment
noise_mechanism	The noise mechanism to use ("add", "mult_evidence", or "mult_t")
noise_factory	A function that takes trial_setting and returns a noise function with signature function(n, dt)
trajectories	Whether to return full output including trajectories.

Value

A list containing the simulation results

Note

After evaluation, parameters A_upper, A_lower, V, and ndt are expected to be numeric vectors of length n_items. And they are matched by position. So, the first element of A_upper, A_lower, V, and ndt corresponds to the first item, and so on.

eam documentation built on March 29, 2026, 5:07 p.m.