Estimate necessary sample sizes for comparing the location
    of data from two groups or categories when the distribution of the 
    data is skewed. The package 
    offers a non-parametric method for a Wilcoxon Mann-Whitney test of 
    location shift as well as methods for several generalized linear 
    models, for instance, Gamma regression.

Density, distribution function, quantile function and
        random generation for the skewed t distribution of Fernandez
        and Steel.

Provide estimation and data generation tools for the skew-unit family
		discussed based on Mukhopadhyay and Brani (1995) <doi:10.2307/2348710>. 
		The family contains extensions for popular distributions such as the ArcSin 
		discussed in Arnold and Groeneveld  (1980) <doi:10.1080/01621459.1980.10477449>, 
		triangular, U-quadratic and Johnson-SB proposed in Cortina-Borja (2006) <doi:10.1111/j.1467-985X.2006.00446_12.x> 
		distributions, among others.

Sequential Kalman filter for scalable online changepoint detection by temporally correlated data. It enables fast single and multiple change points with missing values. See the reference: Hanmo Li, Yuedong Wang, Mengyang Gu (2023), <arXiv:2310.18611>.

SKIFTI files contain brain imaging data in coordinates across Tract Based Spatial Statistics (TBSS) skeleton, which 
    represent the brain white matter intensity values. 
    'skiftiTools' provides a unified environment for reading, writing, 
    visualizing and manipulating SKIFTI-format data. It supports the "subsetting", 
    "concatenating", and using data as data.frame for R statistical functions. The SKIFTI data is structured for convenient access to the data and metadata,
    and includes support for visualizations. For more information see Merisaari et al. (2024) <doi:10.57736/87d2-0608>.

A generalization of the statistic used in Friedman's ANOVA method and in Durbin's rank test. This nonparametric statistical test is useful for the data obtained from block designs with missing observations occurring randomly. A resulting p-value is based on the chi-squared distribution and Monte Carlo method.