mlebme {irtoys} | R Documentation |
Estimates the value of the latent variable ("ability") for each person by direct optimization
mlebme(resp, ip, mu=0, sigma=1, method="ML")
resp |
A matrix of responses: persons as rows, items as columns, entries are either 0 or 1, no missing data |
ip |
Item parameters: a matrix with one row per item, and three columns: [,1] item discrimination a, [,2] item difficulty b, and [,3] asymptote c. |
mu |
Mean of the apriori distribution. Ignored when method="ML" . Default is 0. |
sigma |
Standard deviation of the apriori distribution. Ignored when method="ML" . Default is 1. |
method |
"ML" for maximum likelihood or "BM" for Bayes Modal estimation. Default is "ML" , in which case any values for mu and sigma will be ignored. |
A matrix with the ability estimates in column 1 and their standard errors of measurement (SEM) in column 2
Ivailo Partchev
data(Scored) p.2pl <- est(Scored, model="2PL", engine="ltm") th.mle <- mlebme(resp=Scored, ip=p.2pl)