Inspired by Moreira and Gamerman (2022) <doi:10.1214/21-AOAS1569>,
    this methodology expands the idea by including Marks in the point process.
    Using efficient 'C++' code, the estimation is possible and made faster with
    'OpenMP' <https://www.openmp.org/> enabled computers. This package was
    developed under the project PTDC/MAT-STA/28243/2017, supported by
    Portuguese funds through the Portuguese Foundation for Science and
    Technology (FCT).

Code to identify functional enrichments across diverse taxa
    in phylogenetic tree, particularly where these taxa differ in
    abundance across samples in a non-random pattern. The motivation for
    this approach is to identify microbial functions encoded by diverse
    taxa that are at higher abundance in certain samples compared to
    others, which could indicate that such functions are broadly adaptive
    under certain conditions. See 'GitHub' repository for tutorial and
    examples: <https://github.com/gavinmdouglas/POMS/wiki>. Citation: Gavin M. Douglas, Molly G. Hayes, Morgan G. I. Langille, Elhanan Borenstein (2022) <doi:10.1093/bioinformatics/btac655>.

A scalable and accurate tool for Killer-cell Immunoglobulin-like
    Receptor (KIR) genotype imputation directly from SNP array data using
    supervised machine learning models trained across five continental ancestry
    groups. Uses attribute bagging and an ensemble classifier method with
    haplotype inference for SNPs and KIR types. Models are built from global
    populations in the 1000 Genomes Project and validated across diverse
    biobank cohorts. Methods are based on Zheng et al. (2014)
    <doi:10.1016/j.ajhg.2013.12.015> and Sadeeq et al. (2026)
    <https://github.com/NormanLabUCD/PONG2>.

Homogeneity tests of the coefficients in panel data. Currently,
             only the Hsiao test for determining coefficient homogeneity between
             the panel data individuals is implemented, as described in Hsiao
             (2022), "Analysis of Panel Data" (<doi:10.1017/9781009057745>).