bayes_R2                Computes R-squared using Bayesian R-squared
                        approach.
bistablehistory-package
                        Cumulative History Analysis for Bistable
                        Perception Time Series
br                      Binocular rivalry data
br_contrast             Binocular rivalry, variable contrast
br_single_subject       Single experimental session for binocular
                        rivalry stimulus
br_singleblock          Single run for binocular rivalry stimulus
coef.cumhist            Extract Model Coefficients
compute_history         Computes cumulative history for the time-series
cumhist-class           Class 'cumhist'.
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 linear model
extract_term_to_matrix
                        Extracts a term with one column per fixed or
                        random-level into a matrix
fast_history_compute    Computes cumulative history
fit_cumhist             Fits cumulative history for bistable perceptual
                        rivalry displays.
fixef                   Extract the fixed-effects estimates
history_mixed_state     Extract values of used or fitted history
                        parameter mixed_state
history_parameter       Extract values of used or fitted history
                        parameter
history_tau             Extract values of used or fitted history
                        parameter tau
historyef               Extract the history-effects estimates
kde                     Kinetic-depth effect data
kde_two_observers       Multirun data for two participants,
                        kinetic-depth effect display
loo.cumhist             Computes an efficient approximate leave-one-out
                        cross-validation via loo library. It can be
                        used for a model comparison via
                        loo::loo_compare() function.
nc                      Necker cube data
predict.cumhist         Computes predicted dominance phase durations
                        using posterior predictive distribution.
predict_history         Computes predicted cumulative history using
                        posterior predictive distribution.
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).
