subjthetaML: ksIRT - kernel smoothing in Item Response Theory
In KernSmoothIRT: Nonparametric Item Response Theory
Description
Usage
Arguments
References
Description
Returns the maximum likelihood estimate for each subject.
Usage
1
subjthetaML(x)
Arguments
x
a ksIRT object to be analyzed.
References
Ramsay, J.O. (2000).
TestGraf: A program for the graphical analysis of multiple choice test and questionnaire data.
Silverman, B.W. (1986).
Density Estimation for Statistics and Data Analysis.
Chapman & Hall, London.
KernSmoothIRT documentation built on March 26, 2020, 7:42 p.m.
R Package Documentation
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Description Usage Arguments References
Description
Returns the maximum likelihood estimate for each subject.
Usage
1 | subjthetaML(x)
|
Arguments
x |
a |
References
Ramsay, J.O. (2000). TestGraf: A program for the graphical analysis of multiple choice test and questionnaire data.
Silverman, B.W. (1986). Density Estimation for Statistics and Data Analysis. Chapman & Hall, London.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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