Description Usage Arguments Value Remark Author(s) References Examples
CDFDif
Returns the probability Prob(RT <= t, X=x), where RT is a single response time, and X is an indicator
(correct or incorrect).
cdfdif
does the same, except that t is allowed to be an array.
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t |
degrees of freedom parameter |
x |
TRUE (=correct) or FALSE (=incorrect) |
a |
the boundary separation |
Ter |
the mean non-decisional component time |
eta |
the standard deviation of the normal drift distribution |
z |
the mean starting point |
sz |
the spread of the starting point distribution |
st |
the spread of the non-decisional component time distribution |
nu |
the mean drift rate |
The probability/probabilities Prob(RT <= t, X=x).
Original Fortran sources due to Francis Tuerlinckx. C translation by Raoul Grasman.
Raoul Grasman rgrasman@uva.nl
Tuerlinckx, (2004), The efficient computation of the cumulative distribution and probability density functions in the diffusion model, Behavior Research Methods, Instruments, & Computers, vol. 36 (4): 702-716
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