| bayes_R2 | Computes R-squared using Bayesian R-squared approach. |
| bistablehistory-package | Cumulative History Analysis for Bistable Perception Time... |
| br | Binocular rivalry data |
| br_contrast | Binocular rivalry, variable contrast |
| br_singleblock | Single run for binocular rivalry stimulus |
| br_single_subject | Single experimental session for binocular rivalry stimulus |
| check_fixed_history_parameter | Evaluates values for a fixed history parameter |
| check_normal_prior | Checks for validity of values for use as normal distribution... |
| coef.cumhist | Extract Model Coefficients |
| compute_history | Computes cumulative history for the time-series |
| cumhist-class | Class 'cumhist'. |
| evaluate_history_init | Evaluates validity of initial history values. |
| evaluate_history_option | Evaluates whether and how to fit a cumulative history... |
| extract_history | Computes history for a fitted model |
| extract_history_parameter | Extracts a history parameter as a matrix |
| extract_replicate_term_to_matrix | Extract a term and replicates it randomN times for each... |
| extract_term_to_matrix | Extracts a term with one column per fixed or random-level... |
| fast_history_compute | Computes cumulative history |
| fit_cumhist | Fits cumulative history for bistable perceptual rivalry... |
| fixef | Extract the fixed-effects estimates |
| historyef | Extract the history-effects estimates |
| history_mixed_state | Extract values of used or fitted history parameter... |
| history_parameter | Extract values of used or fitted history parameter |
| history_tau | Extract values of used or fitted history parameter tau |
| kde | Kinetic-depth effect data |
| kde_two_observers | Multirun data for two participants, kinetic-depth effect... |
| loo.cumhist | Computes an efficient approximate leave-one-out... |
| nc | Necker cube data |
| predict.cumhist | Computes predicted dominance phase durations using posterior... |
| predict_history | Computes predicted cumulative history using posterior... |
| predict_samples | Computes prediction for a each sample. |
| preprocess_data | Preprocesses time-series data for fitting |
| print.cumhist | Prints out cumhist object |
| summary.cumhist | Summary for a cumhist object |
| waic.cumhist | Computes widely applicable information criterion (WAIC). |
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