R: Analyze Data from Analysis of Behavior Experiments

# Analyze Data from Analysis of Behavior Experiments

## Documentation for package ‘YEAB’ version 1.0.6

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

ab_range_normalization | Normalization (or rescaling) between arbitrary a and b
balci2019 | Peak individual trial analysis using moving average
berm | Biexponential Refractory Model (BERM)
berm_log_likelihood | Biexponential Refractory Model (BERM)
biexponential | Biexponential Model
biexponential_log_likelihood | Optimization Function for the Biexponential Model
bp_opt | Find the best fit for individual trials using 'optim'
ceiling_multiple | Find the nearest multiple
curv_index_fry | Curvature index using Fry derivation
curv_index_int | Curvature index by numerical integration
DD_data | Delay Discounting Data
dd_example | An example dataset of delays and normalized subjective values
entropy_kde2d | Shannon entropy in two dimensions
eq_hyp | Hyperbolic function
event_extractor | Event extractor
exhaustive_lhl | Individual trial analysis for peak procedure data
exhaustive_sbp | Single breakpoint algorithm, the exhaustive version as the one used in Guilhardi & Church 2004
exp_fit | Exponential fit with nls
fi60_raw_from_med | Raw Fixed Interval Data
fleshler_hoffman | Fleshler & Hoffman (1962) progression
fwhm | Full Width at Half Maximum
f_table | Frequency table for binned data
gaussian_fit | Gaussian + ramp fit with LM algorithm
gauss_example | Gaussian Example Data
gauss_example_1 | Gaussian Example 1 Data
gauss_example_2 | Gaussian Example 2 Data
gell_like | Gellerman-like series
get_bins | A function to binarize a numeric vector with a given resolution
hyperbolic_fit | Hyperbolic fit with nls
hyp_data | Simulated Data for Hyperbolic Discounting
hyp_data_list | Hypothetical dataset list for testing purposes
ind_trials_obj_fun | Objective function for finding the best fit for individual trials
ind_trials_opt | Find the best fit for individual trials using 'optim'
KL_div | Computes the Kullback-Leibler divergence based on kernel density estimates
map_onto | Biexponential Refractory Model (BERM)
mut_info_discrete | Mutual information of continuous variables using discretization
mut_info_knn | Mutual Information for Continuous Variables using kNN
n_between_intervals | Find maximum value within intervals
objective_bp | Objective function for the breakpoint optimization algorithm
optimize_berm | Biexponential Refractory Model (BERM)
optimize_biexponential | Optimization Function for the Biexponential Model
param_conver | Biexponential Refractory Model (BERM)
read_med | Process MED to csv based on standard data structure event.time
r_times | Reaction Times from Peak Procedure
sample_from_density | Sample from a density estimate
trapezoid_auc | Area under the curve (AUC)
unit_normalization | Min-max normalization (also feature rescaling)
val_in_interval | True value in interval