Acknowledge all contributors to a project via a single
    function call. The function appends to a 'README' or other specified
    file(s) a table with names of all individuals who contributed via code
    or repository issues.  The package also includes several additional
    functions to extract and quantify contributions to any repository.

Tools to simulate alphanumeric alleles, impute genetic missing data and reconstruct non-recombinant haplotypes from pedigree databases in a deterministic way. Allelic simulations can be implemented taking into account many factors (such as number of families, markers, alleles per marker,
    probability and proportion of missing genotypes, recombination rate, etc).
    Genotype imputation can be used with simulated datasets or real databases (previously loaded in .ped format). Haplotype reconstruction can be carried
    out even with missing data, since the program firstly imputes each family genotype (without a reference panel), to later reconstruct the corresponding
    haplotypes for each family member. All this considering that each individual (due to meiosis) should unequivocally have two alleles per marker (one inherited
    from each parent) and thus imputation and reconstruction results can be deterministically calculated.

Tools for the identification of unique multilocus genotypes when
    both genotyping error and missing data may be present. Includes a data
    pre-screening utility to analyze pairwise locus overlap and protect against
    underlying mathematical sorting constraints. Targeted for use with large
    datasets and databases containing multiple samples of each individual (a common
    situation in conservation genetics, particularly in non-invasive wildlife
    sampling applications). Functions explicitly incorporate missing data and can
    tolerate allele mismatches created by genotyping error. If you use this package,
    please cite the original publication in Molecular Ecology Resources (Galpern
    et al., 2012), the details for which can be generated using
    citation('allelematch'). The complete user manual and analytical tutorials
    are included locally as an R vignette and can be accessed within an active R
    session using vignette('allelematch').