classify.bug: Classification Accuracy and Consistency from Bugs Replicate...
In classify: Classification Accuracy and Consistency under IRT models.
Description
Usage
Arguments
Details
Value
Description
Calculates classification statistics under IRT models in bugs.
Usage
1
classify.bug(sims, scores, bnds, lbls=NULL)
Arguments
sims
bugs sims matrix.
scores
scores
bnds
Numeric vector of grade boundaries, monotonically increasing.
lbls
Character vector of grade labels. Optional.
Details
Calculates classification statistics under IRT models in bugs.
Value
classification
classify documentation built on May 29, 2017, 7:49 p.m.
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Description Usage Arguments Details Value
Description
Calculates classification statistics under IRT models in bugs.
Usage
1 | classify.bug(sims, scores, bnds, lbls=NULL)
|
Arguments
sims |
bugs sims matrix. |
scores |
|
bnds |
Numeric vector of grade boundaries, monotonically increasing. |
lbls |
Character vector of grade labels. Optional. |
Details
Calculates classification statistics under IRT models in bugs.
Value
classification
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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