A fast 'Rcpp'-based implementation of polynomially-computable
    voting theory methods for committee ranking and scoring. The package
    includes methods such as Approval Voting (AV), Satisfaction Approval
    Voting (SAV), sequential Proportional Approval Voting (PAV), and
    sequential Phragmen's Rule. Weighted variants of these methods are
    also provided, allowing for differential voter influence.

A lightweight package to compute Maximal Overlap Discrete Wavelet 
    Transform (MODWT) and À Trous Discrete Wavelet Transform by leveraging the 
    power of 'Rcpp' to make these operations fast. This package was designed for use in forecasting, and
    allows users avoid the inclusion of future data when performing wavelet decomposition of time series.
    See Quilty and Adamowski (2018) <doi:10.1016/j.jhydrol.2018.05.003>.

A collection of utility functions for working with
  Year Month Day objects. Includes functions for fast parsing of numeric
  and character input based on algorithms described in Hinnant, H. (2021) 
  <https://howardhinnant.github.io/date_algorithms.html> as well as a branchless
  calculation of leap years by Jerichaux (2025) <https://stackoverflow.com/a/79564914>.

Performs family-based association tests with a polytomous outcome under 2-locus and 1-locus models
             defined by some design matrix.

Application of 'FateID' allows computation and visualization of cell fate bias for multi-lineage single cell transcriptome data. Herman, J.S., Sagar, Grün D. (2018) <DOI:10.1038/nmeth.4662>.

Kiener distributions K1, K2, K3, K4 and K7 to characterize
    distributions with left and right, symmetric or asymmetric fat tails in 
    finance, neuroscience and other disciplines. Two algorithms to estimate the
    distribution parameters, quantiles, value-at-risk and expected shortfall.
    IMPORTANT: Standardization has been changed in versions >= 2.0.0 to get 
	sd = 1 when kappa = Inf rather than 2*pi/sqrt(3) in versions <= 1.8.6. 
	This affects parameter g (other parameters stay unchanged). Do not update 
	if you need consistent comparisons with previous results for the g parameter.