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mlebme

Maximum likelihood and Bayes Modal estimation of ability

Description

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

Usage

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.

Value

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

Author(s)

Ivailo Partchev

See Also

Examples

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

A Collection of Functions Related to Item Response Theory (IRT)

v0.2.1
GPL (>= 2)
Authors
Ivailo Partchev [aut, cre], Gunter Maris [aut], Tamaki Hattori [ctb]
Initial release
2017-12-15

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