Cumulative History Analysis for Bistable Perception Time Series

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Documentation for package ‘bistablehistory’ version 1.1.2

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

bistablehistory-package	Cumulative History Analysis for Bistable Perception Time Series
bayes_R2	Computes R-squared using Bayesian R-squared approach.
bayes_R2.cumhist	Computes R-squared using Bayesian R-squared approach.
bistablehistory	Cumulative History Analysis for Bistable Perception Time Series
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
coef.cumhist	Extract Model Coefficients
compute_history	Computes cumulative history for the time-series
cumhist	Class 'cumhist'.
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
historyef	Extract the history-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
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).
_PACKAGE	Cumulative History Analysis for Bistable Perception Time Series