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>.

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>).

Finds equivalence classes corresponding to a symmetric relation
    or undirected graph.  Finds total order consistent with partial order
    or directed graph (so-called topological sort).

Enables the creation of object pools, which make it less
    computationally expensive to fetch a new object. Currently the only
    supported pooled objects are 'DBI' connections.

Provides functions to simulate Pool-seq data under models of
    demographic formation and to import Pool-seq data from real populations.
    Implements two ABC algorithms for performing parameter estimation and 
    model selection using Pool-seq data. Cross-validation can also be 
    performed to assess the accuracy of ABC estimates and model choice.
    Carvalho et al., (2022) <doi:10.1111/1755-0998.13834>.