Calculate Classification Statistics

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Description

Internal function to calculate classification statistics.

Usage

1
classify(cssd, expected, bnds, cats, lbls=NULL)

Arguments

cssd

Conditional Summed Score Distribution

expected

Numeric vector of Expected Scores

bnds

Numeric vector of grade boundaries, specified in ascending order, including the minimum and maximum mark on the test.

cats

Numeric vector of item categories.

lbls

Character vector of grade labels. Optional.

Value

List of classification statistics:
Candidate level accuracy
Candidate level false negatives
Candidate level false positives
Summary of consistency
Matrix of grade probability combinations
Kappa
Candidate level classification consistency
Summary of accuracy by grade
Summary of false positives by grade
Summary of false negatives by grade
Summary of consistency by grade