aevacc2_by_trial: Simulate aDDM process (by trial, 2 items)
In AlexanderFengler/addmtoolbox: addmtoolbox

Description Usage Arguments Value Author(s)

Simulate aDDM process by unique trial (2 items) aevacc2_by_trial()

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aevacc2_by_trial(parameters, maxdur = 0L, mindur = 0L, cur_decision = 0L,
  update = 0L, nr_attributes = 0L, fixpos = 0L, fixdur = 0L,
  nr_reps = 0L, timestep = 0L)

`parameters`	vector that stores the parameters used for the simulations (Order: [non.decision.time, drift, sd, theta])
`maxdur`	numeric variable that supplies the maximum reaction time considered a success in simulations
`mindur`	numeric variable that supplies the minimum reaction time considered a succes in simulations
`cur_decision`	numeric variable that provides the empirical decision taken in trial
`update`	Vector that stores the item valuations for the trial conditon simulated
`nr_attributes`	placeholder for interface consistency / see multiattribute versions for specification
`fixpos`	Vector that stores the locations for a supplied fixed fixation pathway
`fixdur`	Vector that stores the fixation durations for a supplied fixed fixation pathway
`nr_reps`	number of repitions (simulation runs)
`timestep`	timestep in ms associated with each step in the drift diffusion process
`cur_maxfix`	integer that provides number of fixation in trial