DDM_with_confidence_slow | R Documentation |
This function generates trials using the Drift Diffusion Model. Additional evidence is accumulated for a fixed time after the decision boundary has been reached. Note: here, decision boundaries are a and -a and starting point is equal to a*z.
DDM_with_confidence_slow(v, a, ter, z, ntrials, s, dt, t2time, postdriftmod)
v |
Drift rate |
a |
Decision boundary, evidence at t = 0 is equal to a*z. Decision boundaries are a and -a |
ter |
Non-decision time |
z |
Starting point bias in evidence. For unbiased DDM, use z = 0 |
ntrials |
Number of DDM trials to generate |
s |
Scaling parameter |
dt |
Time step size |
t2time |
Post-decision accumulation time |
postdriftmod |
V-ratio. If equal to 1, post-decision drift rate is equal to decision drift rate |
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