baseline                Baseline model
bayesian_decay          Bayesian decay model
benitez2020             Benitez et al. (2020)
                        temporal-structure-of-naming experiment data
create_cooc_matrix      Creates co-occurrence matrix from training
                        trials
cross_validated_group_fits
                        Perform Cross-Validation on Group Fits of a
                        Model
decay                   Decay model
fazly                   Fazly et al. 2010 probablistic associative
                        model
fgt2009                 Frank, Goodman & Tenenbaum (2009) intentional
                        Bayesian word-learning model
fgt2009_rsa             Frank, Goodman & Tenenbaum word-learning model
                        with pragmatic (RSA) reasoning
fgt2009_sweep_alpha     Sweep the lexicon-size prior alpha for an FGT
                        model
fm_corpus               Frank, Tenenbaum & Fernald naturalistic
                        word-learning corpus
gangwani2011_category   Gangwani, Kachergis & Yu simultaneous category
                        + object name learning
get_crossvalidated_model_fit
                        Get cross-validated model fit
get_example_ambiguous_condition
                        Get example ambiguous condition
get_example_unambiguous_condition
                        Get example unambiguous condition
get_fscore              Calculate F-score, precision, recall, and
                        specificity for a knowledge matrix at a given
                        threshold
get_group_model_fit     Get group model fit for a specific model
get_perf                Calculate Luce choice (proportion correct) for
                        each item in a model knowledge matrix
get_roc                 Calculate receiver operating characteristic
                        (ROC) scores for a model association Matrix
get_tp                  Get true positives (TP), given a knowledge
                        matrix and a gold-standard lexicon
get_train_test_split    Split Data into Training and Testing Sets Based
                        on Indices
guess_and_test          Guess and test model
kachergis2012_highlighting
                        Kachergis (2012) highlighting experiment data
kachergis_initial_accuracy
                        Kachergis, Grimmick, & Gureckis initial
                        accuracy experiment data
kalman_filter           Kalman filter associative model
mafc_test               Evaluate m-alternative forced choice test
minerva2                MINERVA2 episodic memory model
multi_sampling          Multi-sampling associative model
new_xslFit              Constructor for xsl_model S3 class
plot_training_trials    Create Animated Plot of Co-Occurrence Matrix
                        from Training Trials
predict_referent        Predict referent selection for a single trial
                        from an association matrix
propose_but_verify      Trueswell et al. 2013 propose-but-verify model
pursuit                 Stevens et al. 2014 pursuit model
rem                     REM (Retrieving Effectively from Memory) model
rescorla_wagner         Rescorla-Wagner (1972) error-driven associative
                        model
rollins_corpus          CHILDES/Rollins naturalistic word-learning
                        corpus (Frank et al. 2009)
rsa_listener            Rational Speech Act pragmatic listener and
                        speaker
show_datasets           Show available datasets in the package
show_models             Show available models in the package
softmax_rl              Softmax reinforcement learning model
tilles                  Tilles and Fontanari (2013) reinforcement model
todam                   TODAM holographic reduced representation model
uncfam                  Kachergis 2012
uncfam_attention        Biased associative model with attention scaled
                        to trial uncertainty
uncfam_elimination      Biased associative model with learning by
                        elimination
uncfam_gamma            Kachergis 2012 with a free familiarity exponent
uncfam_predictive       Predictive biased associative model (item-level
                        prediction error)
uncfam_sampling         Kachergis 2012
update_params           Update parameters of xslMod
vlach_debrock2017       Vlach & DeBrock (2017) spaced/massed repetition
                        experiment data
xslControl-class        xslControl S3 class
xslData-class           xslData S3 class
xslFit-class            xslFit S3 class
xsl_datasets            Cross-situational word learning experiment data
xsl_fit                 Fit XSL model using differential evolution
xsl_holdout_datasets    Registry of datasets held out from xsl_datasets
xsl_run                 Run XSL model
