CDFDif: Compute simultaneous probability of (a) response time(s) and...

In RTmodels: Utility function for modeling and simulation of (sub-second) response times in cognitive psychology

Description

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.

Usage

CDFDif(t,x,nu,z,a,Ter,eta=0,sz=0,st=0);
cdfdif(t,x,nu,z,a,Ter,eta=0,sz=0,st=0)

Arguments

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

Value

The probability/probabilities Prob(RT <= t, X=x).

Remark

Original Fortran sources due to Francis Tuerlinckx. C translation by Raoul Grasman.

Author(s)

Raoul Grasman [e-mail]

References

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

Examples

##
cdfdif(c(0.3,0.5),1,nu=.2,z=.11,a=.2,Ter=.3,eta=.1,sz=0.05,st=0.1)

RTmodels documentation built on May 2, 2019, 5:49 p.m.