Implements the Vector Matching algorithm to match multiple
    treatment groups based on previously estimated generalized propensity
    scores. The package includes tools for visualizing initial confounder
    imbalances, estimating treatment assignment probabilities using various
    methods, defining the common support region, performing matching across
    multiple groups, and evaluating matching quality. For more details, see 
    Lopez and Gutman (2017) <doi:10.1214/17-STS612>.

The 'base'  tools  union() intersect(), etc.,  follow the algebraic definition
 that each element of a set must be unique. 
 Since it's often helpful to compare all elements of two vectors,
 this toolset treats every element as unique for counting purposes.
 For ease of use, all functions in vecsets have an argument
 'multiple' which, when set to FALSE,
 reverts them to the base::sets (alias for all the items) tools functionality.

A tool for fast, efficient bitwise operations along the
    elements within a vector. Provides such functionality for AND, OR and
    XOR, as well as infix operators for all of the binary bitwise
    operations.

Facilitate the analysis of inter-limb and intra-limb coordination in human movement. 
  It provides functions for calculating the phase angle between two segments, enabling researchers and practitioners to quantify the coordination patterns within and between limbs during various motor tasks.
  Needham, R., Naemi, R., & Chockalingam, N. (2014) <doi:10.1016/j.jbiomech.2013.12.032>.
  Needham, R., Naemi, R., & Chockalingam, N. (2015) <doi:10.1016/j.jbiomech.2015.07.023>.
  Tepavac, D., & Field-Fote, E. C. (2001) <doi:10.1123/jab.17.3.259>.
  Park, J.H., Lee, H., Cho, Js. et al. (2021) <doi:10.1038/s41598-020-80237-w>.

Allows registered 'VectorSurv' <https://vectorsurv.org/> users access to data through the 'VectorSurv API' <https://api.vectorsurv.org/>. Additionally provides functions for analysis and visualization.

New wavelet methodology (vector wavelet coherence) (Oygur, T., Unal, G, 2020 <doi:10.1007/s40435-020-00706-y>) 
  to handle dynamic co-movements of multivariate time series via extending multiple and quadruple wavelet coherence methodologies. 
  This package can be used to perform multiple wavelet coherence, quadruple wavelet coherence, and n-dimensional vector wavelet coherence analyses.