Utilities for unambiguous, neat and legible
    representation of data (date, time stamp, numbers, percentages and strings) 
    for presentation of analysis , aiming for elegance and consistency.
    The purpose of this package is to format data, that is better 
    for presentation and any automation jobs that reports numbers.

Collapse, partition, combine, fill gaps in and expand date/time ranges.

A fast negative binomial mixed model for conducting association analysis of multi-subject single-cell data. It can be used for identifying marker genes, differential expression and co-expression analyses. The model includes subject-level random effects to account for the hierarchical structure in multi-subject single-cell data. See He et al. (2021) <doi:10.1038/s42003-021-02146-6>.

Tools to generate Necklaces, Bracelets, Lyndon words and de Bruijn sequences. The generation relies on integer partitions and uses the 'KStatistics' package. Methods used in the package refers to E. Di Nardo and G. Guarino (2022) <doi:10.48550/arXiv.2208.06855>.

Based on Natural Earth <https://www.naturalearthdata.com/>, a subset of countries can
             easily be selected with their administrative boundaries, joined with an external
	     data frame and plotted as a thematic map.

A simple function for easier package loading and auto-installation.

Subsampling methods for big data under different models and assumptions.
    Starting with linear regression and leading to Generalised Linear Models, softmax
    regression, and quantile regression. Specifically, the model-robust subsampling method 
    proposed in Mahendran, A., Thompson, H., and McGree, J. M. (2023) <doi:10.1007/s00362-023-01446-9>, 
    where multiple models can describe the big data, and the subsampling framework for potentially 
    misspecified Generalised Linear Models in Mahendran, A., Thompson, H., and McGree, J. M. (2025)
    <doi:10.48550/arXiv.2510.05902>.

Methods to reduce confounding bias from unmeasured confounders in observational studies of vaccine efficacy using negative control outcomes.