Function reference • airt

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

Reference

All functions