addm_run_by_trial: Run model by unique trial
In AlexanderFengler/addmtoolbox: addmtoolbox

Description Usage Arguments Value Author(s)

Run model by unique trial for one set of parameter values

addm_run_by_trial(choice.dat = data.table(v1 = 0, v2 = 0, id = 0),
  eye.dat = data.table(fixloc = 0, fixdur = 0, fixnr = 1, id = 0),
  model.parameters = c(0, 0.002, 0.07, 1), nr.attributes = 1,
  boundaryfun = 1, nr.reps = 1000, timestep = 10,
  model.type = "standard")

`choice.dat`	data.table storing the item valuations (v1,v2...), reaction times in ms (rt), decisions (decision) and unique trial ids (id).
`eye.dat`	data.table storing eyetracking data by trial. Fixation location (fixloc), Fixation number (fixnr), Fixation duration (fixdur) and a unique trial ids (id).
`model.parameters`	vector with the four core addm parameters in order (non.decision.time, drift, sd, theta, gamma, boundary-parameters).
`nr.attributes`	integer providing the amount of attributes we consider per item
`nr.reps`	integer that tells the function how many simulation runs to use.
`timestep`	integer number that provides the timestep-size that is used in the simulations (in ms).
`model.type`	string that indicates which version of the model to run. 'standard' for traditional (a)ddm, or 'memnoise' when memory effects shall be allowed.