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allelematch (version 3.0.0)

Identifying Unique Multilocus Genotypes where Genotyping Error and Missing Data may be Present

Description

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').

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Version

Install

install.packages('allelematch')

Monthly Downloads

438

Version

3.0.0

License

GPL (>= 2)

Maintainer

Todd Cross

Last Published

July 24th, 2026

Functions in allelematch (3.0.0)

amExampleData

Data sets to support the tutorials in the supplementary documentation and examples in the manual
amPreCheck

Pre-Screen an amDataset Object for Severe Missing Data Loads
amAlleleFreq

Determine allele frequencies
amDataset

Prepare a dataset for use with allelematch
amCSSForHTML

Produce cascading style sheet (CSS) for HTML
allelematch-package

Identification of unique multilocus genotypes
amPairwise

Pairwise matching of multilocus genotypes
amMatrix

Produce a dissimilarity matrix for pairs of multilocus genotypes
amCluster

Clustering of multilocus genotypes
amUnique

Identification of unique genotypes
amUniqueProfile

Determine optimal parameter values for the identification of unique genotypes