subjOCCDIF
(Package: KernSmoothIRT) :
ksIRT - kernel smoothing in Item Response Theory
This function applies only when the groups argument is specified. It returns a list containing a matrix for each item for each of the different groups. 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.
● Data Source:
CranContrib
● Keywords:
● Alias: subjOCCDIF
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subjETSDIF
(Package: KernSmoothIRT) :
ksIRT - kernel smoothing in Item Response Theory
This function applies only when the groups argument is specified. It returns a vector with each subjects expected test score.
● Data Source:
CranContrib
● Keywords:
● Alias: subjETSDIF
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plot.ksIRT
(Package: KernSmoothIRT) :
Plot Method for ksIRT - kernel smoothing in Item Response Theory
The plot method for ksIRT objects includes a variety of exploratory plotting tools.
● Data Source:
CranContrib
● Keywords:
● Alias: plot, plot.ksIRT
●
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itemcor
(Package: KernSmoothIRT) :
ksIRT - kernel smoothing in Item Response Theory
This function returns a vector of point polyserial correlations for each item.
● Data Source:
CranContrib
● Keywords:
● Alias: itemcor
●
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This package is meant for the graphical analysis of multiple choice test and questionnaire data within a nonparametric approach. Basically, it performs the fitting of item and options characteristic curves using kernel smoothing techniques and provides a variety of exploratory plots.
● Data Source:
CranContrib
● Keywords:
● Alias: KernSmoothIRT
●
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subjscoreML
(Package: KernSmoothIRT) :
ksIRT - kernel smoothing in Item Response Theory
This function returns the maximum likelihood estimate for each subject.
● Data Source:
CranContrib
● Keywords:
● Alias: subjscoreML
●
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ksIRT
(Package: KernSmoothIRT) :
ksIRT - kernel smoothing in Item Response Theory
This function fits nonparametric item and options characteristic curves using kernel smoothing techniques. Within the KernSmoothIRT package, it provides the relevant data for the graphical analysis of multiple choice test and questionnaire data.
● Data Source:
CranContrib
● Keywords:
● Alias: ksIRT, print.ksIRT
●
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subjscore
(Package: KernSmoothIRT) :
ksIRT - kernel smoothing in Item Response Theory
This function returns a vector of scores for each subject.
● Data Source:
CranContrib
● Keywords:
● Alias: subjscore
●
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PCA
(Package: KernSmoothIRT) :
ksIRT - kernel smoothing in Item Response Theory
This function returns a vector with each subjects expected test score.
● Data Source:
CranContrib
● Keywords:
● Alias: PCA
●
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subjETS
(Package: KernSmoothIRT) :
ksIRT - kernel smoothing in Item Response Theory
This function returns a vector with each subjects expected test score.
● Data Source:
CranContrib
● Keywords:
● Alias: subjETS
●
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