.check_for_PupilPre     Internal helper function, not intended to be
                        called externally.
VWPre                   VWPre: Tools for Preprocessing Visual World
                        Data.
VWdat                   This is a sample eye-tracking dataset included
                        in the package
align_msg               Aligns samples to a specific message.
bin_prop                Bins the sample data and calculates proportion
                        looks by interest area
check_all_msgs          Output all messages with timestamps
check_eye_recording     Check which eyes were recorded during the
                        experiment
check_ia                Check the interest area IDs and labels
check_msg_time          Check the time value(s) at a specific message
check_samples_per_bin   Check the number of samples in each bin
check_samplingrate      Determine the sampling rate present in the data
check_time_series       Check the new time series
create_binomial         Creates a success/failure column for each IA
                        based on counts.
create_time_series      Create a time series column
custom_ia               Map gaze data to newly defined interest areas
ds_options              Determine downsampling options based on current
                        sampling rate
fasttrack               Fast-track basic preprocessing
make_pelogit_fnc        Create function for back-transforming empirical
                        logits to proportions
mark_trackloss          Mark trackloss by blink and/or screen size
plot_avg                Plots average looks to interest areas.
plot_avg_cdiff          Plots average difference between two
                        conditions.
plot_avg_contour        Plots average contour surface of looks to a
                        given interest area.
plot_avg_diff           Plots average difference between looks to two
                        interest areas.
plot_indiv_app          Plots diagnostic average plots of
                        subjects/items.
plot_transformation_app
                        Plots diagnostic plots of the empirical logit
                        transformation.
plot_var_app            Plots diagnostic plots of subject/item
                        variance.
prep_data               Check the classes of specific columns and
                        re-assigns as necessary.
recode_ia               Recode interest area IDs and/or interest area
                        labels
relabel_na              Relabel samples containing 'NA' as outside any
                        interest area
rename_columns          Rename default column names for interest areas.
rm_extra_DVcols         Checks for and removes unnecessary DV output
                        columns.
rm_trackloss_events     Removes events with excessive trackloss
select_recorded_eye     Select the eye used during recording
transform_to_elogit     Transforms proportion looks to empirical
                        logits.
