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       Computes the actual and predicted effectiveness
                        of the collection of algorithms.
effectiveness_poly      Computes the actual and predicted effectiveness
                        of the collection of algorithms.
heatmaps_crm            Function to produce heatmaps from a continuous
                        IRTmodel
latent_trait_analysis   Performs the latent trait analysis
make_polyIRT_data       Converts continuous performance data to
                        polytomous data with 5 categories.
model_goodness_crm      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     Computes the goodness of IRT model for all
                        algorithms.
pirtmodel               Fits a polytomous IRT model.
tracelines_poly         Function to plot tracelines from a polytomous
                        IRTmodel
