dpsdRNSim {hbmem}R Documentation

Function dpsdRNSim

Description

Simulate data from DPSD model with R a function of N

Usage

dpsdRNSim(NN = 2, NS = 1, I = 30, J = 200, K = 6, muN = c(-0.7, -0.5), s2aN = 0.2, s2bN = 0.2, muS = 0, s2aS = 0.2, s2bS = 0.2, muR = qnorm(0.25), phiA = -1, phiB = -1, crit = matrix(rep(c(-1.6, -0.5, 0, 0.5, 1.6), each = I), ncol = (K - 1)))

Arguments

NN Number of new-item conditions.
NS Number of studied-item conditions.
I Number of participants.
J Number of items.
K Number of confidence ratings
muN Mean of new-item distributuion
s2aN Variance of participant effects on new-item distribution
s2bN Variance of item effects on new-item distribution
muS Mean of studied-item distribution
s2aS Variance of participant effects on studied-item distribution
s2bS Variance of item effects on studied-item distribution
muR Mean of recollection (on probit space)
phiA Linear slope of participant effect on recollection.
phiB Linear slope of item effect on recollection.
crit Matrix of criteria

References

See Pratte and Rouder (in review)


[Package hbmem version 0.2 Index]