subjOCC: ksIRT - kernel smoothing in Item Response Theory
This function returns a list containing a matrix for each item. Each matrix in the list contains a row for each option with each column representing a subject with the probability of selecting that option for each subject.
(x, stype = ("ObsScore","ExpectedScore","MLScore","Theta","MLTheta"))
ksIRT object to be analyzed.
the scale on which to evaluate each subject.
stype = "ObsScore" uses the subject's observed test score.
stype = "ExpectedScore" uses the subject's expected test score.
stype = "MLScore" uses the maximum likelihood estimate for the subject's overall score.
stype = "Theta" uses the subject's rank on the
stype = "MLTheta" uses the maximum likelihood estimate for the subject on the
Ramsay, J.O. (2000).
TestGraf: A program for the graphical analysis of multiple choice test and questionnaire data. http://www.psych.mcgill.ca/faculty/ramsay/ramsay.html.
Silverman, B.W. (1986).
Density Estimation for Statistics and Data Analysis.
Chapman & Hall, London.