run_condition: Run a given condition with multiple trials
In eam: Evidence Accumulation Models

run_condition

R Documentation

Run a given condition with multiple trials

Description

This function runs multiple trials for a given condition using the specified

Usage

run_condition(
  condition_setting,
  between_trial_formulas,
  item_formulas,
  n_trials,
  n_items,
  max_reached,
  max_t,
  dt,
  noise_mechanism,
  noise_factory,
  backend,
  trajectories = FALSE
)

Arguments

`condition_setting`	A list of named values representing the condition settings
`between_trial_formulas`	A list of formulas defining the between-trial parameters
`item_formulas`	A list of formulas defining the item parameters
`n_trials`	The number of trials to simulate
`n_items`	The number of items per trial
`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" or "mult")
`noise_factory`	A function that takes condition_setting and returns a noise function with signature function(n, dt)
`backend`	The backend implementation to use ("ddm", "ddm-2b", or "lca-gi")
`trajectories`	Whether to return full output including trajectories.