Distance between multivariate t distributions, as presented by N. Bouhlel and D. Rousseau (2023) <doi:10.1109/LSP.2023.3324594>.

Estimators for multivariate symmetrical uncertainty based
    on the work of Gustavo Sosa et al. (2016) <arXiv:1709.08730>,
    total correlation, information gain and symmetrical uncertainty of
    categorical variables.

Defines colour palettes and themes for Michigan State
  University (MSU) publications and presentations. Palettes and
  themes are supported in both base R and 'ggplot2' graphics, and are intended
  to provide consistency between those creating documents and presentations.

Estimation, inference and diagnostics for Univariate Autoregressive Markov Switching Models for Linear and Generalized Models. Distributions for the series include gaussian, Poisson, binomial and gamma cases. The EM algorithm is used for estimation (see Perlin (2012) <doi:10.2139/ssrn.1714016>).

Functions for metabolomics data analysis: data preprocessing, 
  orthogonal signal correction, PCA analysis, PCA-DA analysis, 
	PLS-DA analysis, classification, feature selection, correlation 
	analysis, data visualisation and re-sampling strategies.

Build multiscalar territorial analysis based on various contexts.

Dealing with neutrosophic data in single valued form using score,
    accuracy and certainty functions to calculate ranks of Single Valued 
    Neutrosophic Set (SVNS), also to calculate the  Mann-Whitney test,
    and making a post-hoc test after rejecting the null hypothesis using the Neutrosophic
    Statistics Kruskal-Wallis test. For more information see
    Miari, Mahmoud; Anan, Mohamad Taher; Zeina, Mohamed Bisher(2022)
    <https://digitalrepository.unm.edu/nss_journal/vol51/iss1/60/>.

Perform multi-trait rare-variant association tests using the summary statistics and adjust for possible sample overlap. Package is based on "Multi-Trait Analysis of Rare-Variant Association Summary Statistics using MTAR" by Luo, L., Shen, J., Zhang, H., Chhibber, A. Mehrotra, D.V., Tang, Z., 2019 (submitted).