Man pages for hlplab/MVBeliefUpdatr
Fitting, Summarizing, and Visualizing of Multivariate Gaussian Ideal Observers and Adaptors
| add_data_to_plot | Add exposure/test data to a plot as points or ellipse |
| add_ibbu_stanfit_draws | Add MCMC draws from an NIW IBBU stanfit to a tibble. |
| add_noise | Add Gaussian noise to cues in a data set. |
| aggregate_models_by_group_structure | Aggregate multiple ideal observers/adaptors into an average... |
| as.NIW_ideal_adaptor_stanfit | Coerce stanfit into NIW_ideal_adaptor_stanfit |
| check_compatibility_between_input_and_model | Functions that are shared across the various types of... |
| check_compatibility_between_NIW_belief_and_data | Checking that input to plotting function is compatible |
| ChodroffWilson2018 | Chodroff & Wilson (2018) data on word-initial stop-voicing in... |
| compose_data_to_infer_NIW_ideal_adaptor | Compose data for input to RStan |
| cor2cov | Get covariance matrix from correlation matrix and standard... |
| cov2tau | Get vector of standard deviations from covariance matrix |
| evaluate_model | Evaluate the fit of a model |
| example-model | Example exemplar model. |
| get_categorization_from_exemplar_model | Get categorization from an exemplar model |
| get_categorization_from_model | Get categorization from model |
| get_categorization_from_NIW_ideal_adaptor | Get categorization from an NIW ideal adaptor |
| get_category_labels_from_model | Get category labels from likelihood or model |
| get_constructor | Get tidybayes constructor from an NIW IBBU stanfit. |
| get_cue_dimensionality_from_model | Get cue dimensionality from likelihood or model |
| get_cue_labels_fom_MCMC | Get cue labels from an NIW belief MCMC object [DEPRECATED:... |
| get_cue_labels_from_model | Get cue labels from likelihood or model |
| get_D | Get dimensionality of mean or covariance matrix |
| get_default_scale_values | Get default colors, linetype, etc. |
| get_expected_category_statistic_from_stanfit | Get expected category mean mu or covariance matrix sigma |
| get_expected_mu_from_m | Get expected category mu from mean of means m |
| get_expected_Sigma_from_S | Get expected category covariance from Scatter matrix S and... |
| get_exposure_category_statistic_from_stanfit | Get category sample mean or covariance matrix of exposure... |
| get_ibbu_input | Get the input data from an NIW ideal adaptor stanfit. |
| get_lapse_biases_from_model | Get lapse bias from model |
| get_lapse_rate_from_model | Get lapse rate from model |
| get_likelihood_from_exemplars | Get likelihood |
| get_limits | Get suitable limits for coordinate system based on the MCMC... |
| get_MVG_likelihood | Get likelihood |
| get_NIW_categorization_function | Get NIW categorization function |
| get_NIW_posterior_predictive | Get posterior predictive |
| get_nlevels_of_category_labels_from_model | Get number of categories from likelihood or model |
| get_number_of_draws | Get number of post-warmup MCMC samples from stanfit |
| get_original_variable_levels_from_stanfit | Get or restore the original group or category levels from an... |
| get_params | Get parameter names |
| get_perceptual_noise_from_model | Get noise covariance matrix from model |
| get_plot_limits | Get plot limits. |
| get_posterior_from_model | Get posterior from model |
| get_priors_from_model | Get priors from model |
| get_random_draw_indices | Get indices for random MCMC draws from stanfit |
| get_sufficient_category_statistics | Get sufficient statistics from a data set |
| get_sufficient_statistics_as_list_of_arrays | Get sufficient statistics from a data set |
| get_sum_of_squares_from_df | Get sum of uncentered squares |
| get_test_data_from_stanfit | Get the test data from an NIW ideal adaptor stanfit. |
| get_transform_information_from_stanfit | Get the transform/untransform information from an NIW ideal... |
| infer_NIW_ideal_adaptor | Infer NIW ideal adaptor |
| is.exemplar_model | Is this an exemplar model? |
| is.exemplars | Is this a set of exemplar categories? |
| is.MVBU_model | Is this an MVBeliefUpdatr model? |
| is.MVBU_representation | Is this an MVBeliefUpdatr representation? |
| is.MVG | Is this a set of multivariate Gaussian (MVG) categories? |
| is.MVG_ideal_observer | Is this an ideal observer with multivariate Gaussian (MVG)... |
| is.NIW_belief | Is this a Normal-Inverse-Wishart (NIW) belief? |
| is.NIW_ideal_adaptor | Is this an ideal adaptor with Normal-Inverse-Wishart (NIW)... |
| is.NIW_ideal_adaptor_input | Is this a list of NIW IBBU inputs? |
| is.NIW_ideal_adaptor_MCMC | Is this a tibble of MCMC draws of an NIW ideal adaptor? |
| is.NIW_ideal_adaptor_stanfit | Is this an NIW IBBU stanfit? |
| lift_likelihood_to_model | Turn an MVG/NIW_belief object into an ideal observer/adaptor |
| make_exemplars_from_data | Make exemplar models from data. |
| make_MVG_from_data | Make multivariate Gaussian ideal observer(s) from data. |
| make_NIW_belief_from_data | Make NIW belief from data. |
| make_vector_column | Combine a number of columns into a new vector column |
| MVBeliefUpdatr-package | MVBeliefUpdatr: Fitting, Summarizing, and Visualizing of... |
| nest_model | Nest/unnest the cue information in a model |
| NIW_ideal_adaptor_stanfit-class | An S4 class for stanfit objects that use one of the... |
| plot_expected_categories_1D | Plot expected univariate (1D) category likelihoods |
| plot_expected_categories_2D | Plot expected bivariate (2D) category likelihoods |
| plot_expected_categorization_function_1D | Plot expected categorization function for univariate (1D)... |
| plot_expected_categorization_function_2D | Plot expected categorization function for bivariate (2D)... |
| plot_expected_ibbu_stanfit_categories | Plot expected bivariate (2D) categories from MV IBBU stanfit. |
| plot_ibbu_stanfit_parameter_correlations | Plot correlations between IBBU parameters. |
| plot_ibbu_stanfit_parameters | Plot distribution of IBBU parameters. |
| plot_ibbu_stanfit_test_categorization | Plot prior and posterior categorization of test tokens. |
| plot_NIW_belief_parameters | Plot NIW belief or NIW beliefs object. |
| plot_pairwise_cue_correlation_matrix | Plot pairwise cue correlation matrix |
| print.MVBU_model | Print MVBeliefUpdatr model |
| print.NIW_ideal_adaptor_stanfit | Print NIW ideal adaptor stanfit |
| rmultinom | Overrides stats::rmultinom, reformatting its output.... |
| sample_MVG_data | Sample multivariate Gaussian exposure data. |
| ss | Get sum-of-squares matrix |
| symlog | Symmetric log transform and function. |
| transform_cues | Transform and untransform cues by applying or undoing PCA,... |
| transform_model | Transform and untransform category means and covariance... |
| update_model_decision_bias | Update model's decision biases based on labelled input |
| update_model_decision_bias_incrementally | Update model's decision biases based on exposure data. |
| update_NIW_belief | Update NIW prior beliefs about multivariate Gaussian category... |
| update_NIW_ideal_adaptor_incrementally | Update NIW prior beliefs about multivariate Gaussian category... |
| update_NIW_parameters | Update parameters of NIW prior beliefs about multivariate... |
| uss2css | Convert sum-of-square and covariance matrices |
