logLik_resp: Log-Likelihood for Continuous Reports

In CircularDDM: Circular Drift-Diffusion Model

Description

Calculate log-likelihood of the continuous reports, using part part in equation (23) on p 433.

Usage

logLik_resp(x, pVec)

Arguments

x	a matrix storing a first column as RT and a second column of continuous responses/reports/outcomes. Each row is a trial.
pVec	a parameter vector with the order [a, vx, vy, t0, s], or [thresh, mu1, mu2, ndt, sigmasq], using alternative names.

Value

a vector

References

Smith, P. L. (2016). Diffusion Theory of Decision Making in Continuous Report, Psychological Review, 123 (4), 425–451.

Examples

x <- cbind(
RT=c(1.2595272, 0.8693937, 0.8009044, 1.0018933, 2.3640007, 1.0521304),
R =c(1.9217430, 1.7844653, 0.2662521, 2.1569724, 1.7277440, 0.8607271)
)
pVec <- c(a=2.45, vx=1.5, vy=1.25, t0=.1, s=1)
den  <- logLik_resp(x, pVec=pVec); den

CircularDDM documentation built on May 2, 2019, 2:07 a.m.