R function gawdis() produces multi-trait dissimilarity with more uniform contributions of different traits. de Bello et al. (2021) <doi:10.1111/2041-210X.13537> presented the approach based on minimizing the differences in the correlation between the dissimilarity of each trait, or groups of traits, and the multi-trait dissimilarity. This is done using either an analytic or a numerical solution, both available in the function.

Gazepath Transforms Eye-Tracking Data into Fixations and
Saccades
Eye-tracking data must be transformed into fixations and saccades before it can be analyzed. This package provides a non-parametric speed-based approach to do this on a trial basis. The method is especially useful when there are large differences in data quality, as the thresholds are adjusted accordingly. The same pre-processing procedure can be applied to all participants, while accounting for individual differences in data quality.

A collection of tools for processing and classifying eye
gaze data.
rgeos, maptools, deldir, sp, modeest, signal, zoo, Rmisc,
reshape, plyr, spatstat, ggplot2
'event_ids.R' 'distance2point.R' 'subtendedAngle.R'
'angle2pixels.R' 'local_maxima.R' 'find_peak_ranges.R'
'find_peaks.R' 'pva.R' 'classify.R' 'classify.V.R'
'classify.VA.R' 'classify.VI.R' 'mould.R' 'mouldThreshold.R'
'voronoi.R' 'chull_area.R' 'nni.R' 'bcea.R' 'gridded_rois.R'
'roi_coverage.R' 'gazetools.R' 'extent.R' 'pva-methods.R'
'classify-methods.R' 'mould-methods.R'

Generalize Lambda Distribution and Generalized Bootstrapping
This package collects algorithms and functions for fitting data to a generalized lambda distribution via moment matching methods, and generalized bootstrapping.

A collection of algorithms and functions
for fitting data to a generalized lambda distribution
via moment matching methods, and generalized
bootstrapping.

Utilities for processing Rd objects and files
Provides utilities for processing Rd objects and files.
Extract argument descriptions and other parts of the help pages
of functions.