Tools working with data from ACLED (Armed Conflict Location and Event Data). Functions include simplified access to ACLED's API (<https://apidocs.acleddata.com/>), methods for keeping local versions of ACLED data up-to-date, and functions for common ACLED data transformations.

Implementation of the autocorrelated conditioned Latin
    Hypercube Sampling (acLHS) algorithm for 1D (time-series) and 2D (spatial)
    data. The acLHS algorithm is an extension of the conditioned Latin Hypercube 
    Sampling (cLHS) algorithm that allows sampled data to have similar 
    correlative and statistical features of the original data. Only a properly 
    formatted dataframe needs to be provided to yield subsample indices from 
    the primary function. For more details about the cLHS algorithm, see Minasny
    and McBratney (2006), <doi:10.1016/j.cageo.2005.12.009>. For acLHS, see Le 
    and Vargas (2024) <doi:10.1016/j.cageo.2024.105539>.

Provides a function to calibrate variant effect scores against
    evidence strength categories defined by the American College of Medical
    Genetics and Genomics (ACMG) and the Association for Molecular Pathology
    (AMP) guidelines. The method computes likelihood ratios of pathogenicity
    via kernel density estimation of pathogenic and benign score distributions,
    and derives score intervals corresponding to ACMG/AMP evidence levels. This
    enables researchers and clinical geneticists to interpret functional and
    computational variant scores in a reproducible and standardised manner. For
    details, see Badonyi and Marsh (2025) <doi:10.1093/bioinformatics/btaf503>.

A summarization method to estimate allele-specific copy number signals for Affymetrix SNP microarrays using non-negative matrix factorization (NMF).

Provides SNP array data from different types of
    copy-number regions. These regions were identified manually by the authors
    of the package and may be used to generate realistic data sets with known
    truth.

Archimax copulas are mixture of Archimedean and EV copulas. The package provides definitions of several parametric families of generator and dependence function, computes CDF and PDF, estimates parameters, tests for goodness of fit, generates random sample and checks copula properties for custom constructs. In 2-dimensional case explicit formulas for density are used, contrary to higher dimensions when all derivatives are linearly approximated. Several non-archimax families (normal, FGM, Plackett) are provided as well.