Offers a range of utilities and functions for everyday programming tasks. 
    1.Data Manipulation. Such as grouping and merging, column splitting, and character expansion.
    2.File Handling. Read and convert files in popular formats. 
    3.Plotting Assistance. Helpful utilities for generating color palettes, validating color formats, and adding transparency. 
    4.Statistical Analysis. Includes functions for pairwise comparisons and multiple testing corrections, 
    enabling perform statistical analyses with ease.
    5.Graph Plotting, Provides efficient tools for creating doughnut plot and multi-layered doughnut plot;
    Venn diagrams, including traditional Venn diagrams, upset plots, and flower plots; 
    Simplified functions for creating stacked bar plots, or a box plot with alphabets group for multiple comparison group.

Implements Procrustes cross-validation method for Principal Component Analysis, Principal Component Regression and Partial Least Squares regression models. S. Kucheryavskiy (2023) <doi:10.1016/j.aca.2023.341096>.

A collection of privacy-preserving distributed algorithms for conducting multi-site data analyses. The regression analyses can be linear regression for continuous outcome, logistic regression for binary outcome, Cox proportional hazard regression for time-to event outcome, Poisson regression for count outcome, or multi-categorical regression for nominal or ordinal outcome. The PDA algorithm runs on a lead site and only requires summary statistics from collaborating sites, with one or few iterations. The package can be used together with the online system (<https://pda-ota.pdamethods.org/>) for safe and convenient collaboration. For more information, please visit our software websites: <https://github.com/Penncil/pda>, and <https://pdamethods.org/>.

Permutation Distribution Clustering is a clustering method for time series. Dissimilarity of time series is formalized as the divergence between their permutation distributions. The permutation distribution was proposed as measure of the complexity of a time series.