mlebme function

Maximum likelihood and Bayes Modal estimation of ability

Estimates the value of the latent variable ("ability") for each person by direct optimization

mlebme(resp, ip, mu = 0, sigma = 1, method = "ML")

Arguments

• resp: A matrix of responses: persons as rows, items as columns, entries are either 0 or 1, no missing data
• ip: Item parameters: the object returned by $est$.
• 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.

Returns

A matrix with the ability estimates in column 1 and their standard errors of measurement (SEM) in column 2, and the number of non-missing responses in column 3

Examples

th.mle <- mlebme(resp=Scored, ip=Scored2pl)

See Also

eap

Author(s)

Ivailo Partchev