dpsdRNSim {hbmem} | R Documentation |
Simulate data from DPSD model with R a function of N
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)))
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 |
See Pratte and Rouder (in review)