# Calculate Classification Statistics

### Description

Internal function to calculate classification statistics.

### Usage

1 |

### 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

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