addmtoolbox: addmtoolbox

Description Usage Arguments Value Author(s)

Simulate aDDM process by unique trial (>2 items) aevacc_by_trial()

1 2	aevacc_by_trial(parameters, maxdur, mindur, cur_decision, update, nr_attributes, fixpos, fixdur, nr_reps, timestep)

`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

Returns a numeric variable that provides a success count (runs that predicted a reaction time in the correct rt-bin and simultaneously the correct decision)

Alexander Fengler, alexanderfengler@gmx.de

AlexanderFengler/addmtoolbox documentation built on May 5, 2019, 4:53 a.m.