All functions

algo_effectiveness_crm()

Computes the actual and predicted effectiveness of a given algorithm.

algo_effectiveness_poly()

Computes the actual and predicted effectiveness of a given algorithm.

cirtmodel()

Fits a continuous IRT model.

classification_cts

A dataset containing classification algorithm performance data in a continuous format.

classification_poly

A dataset containing classification algorithm performance data in a polytomous format.

effectiveness_crm() autoplot(<effectivenesscrm>)

Computes the actual and predicted effectiveness of the collection of algorithms.

effectiveness_poly() autoplot(<effectivenesspoly>)

Computes the actual and predicted effectiveness of the collection of algorithms.

heatmaps_crm() autoplot(<heatmapcrm>)

Function to produce heatmaps from a continuous IRTmodel

latent_trait_analysis() autoplot(<latenttrait>)

Performs the latent trait analysis

make_polyIRT_data()

Converts continuous performance data to polytomous data with 5 categories.

model_goodness_crm() autoplot(<modelgoodnesscrm>)

Computes the goodness of IRT model for all algorithms.

model_goodness_for_algo_crm()

Computes the goodness of IRT model for a given algorithm.

model_goodness_for_algo_poly()

Computes the goodness of the IRT model fit for a given algorithm.

model_goodness_poly() autoplot(<modelgoodnesspoly>)

Computes the goodness of IRT model for all algorithms.

pirtmodel()

Fits a polytomous IRT model.

tracelines_poly() autoplot(<tracelinespoly>)

Function to plot tracelines from a polytomous IRTmodel