| baseline | Baseline model |
| bayesian_decay | Bayesian decay model |
| benitez2020 | Benitez et al. (2020) temporal-structure-of-naming experiment... |
| cos_sim | Cosine similarity of two vectors |
| 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... |
| fgt2009_rsa | Frank, Goodman & Tenenbaum word-learning model with pragmatic... |
| 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... |
| 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... |
| get_group_model_fit | Get group model fit for a specific model |
| get_perf | Calculate Luce choice (proportion correct) for each item in a... |
| get_roc | Calculate receiver operating characteristic (ROC) scores for... |
| get_tp | Get true positives (TP), given a knowledge matrix and a... |
| 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... |
| 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 |
| nonneg_shannon_entropy | Shannon entropy after clamping negative associations to 0 |
| plot_training_trials | Create Animated Plot of Co-Occurrence Matrix from Training... |
| predict_referent | Predict referent selection for a single trial from an... |
| 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... |
| rsa_listener | Rational Speech Act pragmatic listener and speaker |
| shannon_entropy | Calculates Shannon entropy of a supplied vector, after... |
| 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... |
| 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... |
| uncfam_sampling | Kachergis 2012 |
| update_known | Update known |
| update_params | Update parameters of xslMod |
| vlach_debrock2017 | Vlach & DeBrock (2017) spaced/massed repetition experiment... |
| xslControl-class | xslControl S3 class |
| xslData-class | xslData S3 class |
| xsl_datasets | Cross-situational word learning experiment data |
| xsl_fit | Fit XSL model using differential evolution |
| xslFit-class | xslFit S3 class |
| xsl_holdout_datasets | Registry of datasets held out from xsl_datasets |
| xslMod-class | Constructor for xsl_model S3 class |
| XSLmodels-package | XSLmodels: Run and Optimize Cross-Situational Word Learning... |
| xsl_run | Run XSL model |
