Returns the names of all available cross-situational word learning
models, as accepted by get_group_model_fit() and
get_crossvalidated_model_fit(). Most are the package's model functions;
a few are variants of them used in the model comparison paper
(uncfam_novelty, uncfam_uncertainty_only, uncfam_strength,
fazly_threshold) or with non-default options and a softmax choice rule
(rescorla_wagner_softmax, rescorla_wagner_discriminative,
kalman_filter_full).
Examples
show_models()
#> [1] "baseline" "decay"
#> [3] "uncfam" "uncfam_novelty"
#> [5] "uncfam_uncertainty_only" "uncfam_strength"
#> [7] "uncfam_gamma" "uncfam_general"
#> [9] "uncfam_elimination" "uncfam_attention"
#> [11] "uncfam_predictive" "uncfam_sampling"
#> [13] "multi_sampling" "propose_but_verify"
#> [15] "pursuit" "fazly"
#> [17] "fazly_threshold" "guess_and_test"
#> [19] "rescorla_wagner" "tilles"
#> [21] "bayesian_decay" "kalman_filter"
#> [23] "rescorla_wagner_softmax" "rescorla_wagner_discriminative"
#> [25] "kalman_filter_full" "softmax_rl"
#> [27] "fgt2009" "fgt2009_rsa"
#> [29] "minerva2" "todam"
#> [31] "rem"