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relMix  

Relationship Inference for DNA Mixtures
View on CRAN: Click here


Download and install relMix package within the R console
Install from CRAN:
install.packages("relMix")

Install from Github:
library("remotes")
install_github("cran/relMix")

Install by package version:
library("remotes")
install_version("relMix", "1.4.1")



Attach the package and use:
library("relMix")
Maintained by
Guro Dorum
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-12-09
Latest Update: 2025-01-13
Description:
Analysis of DNA mixtures involving relatives by computation of likelihood ratios that account for dropout and drop-in, mutations, silent alleles and population substructure. This is useful in kinship cases, like non-invasive prenatal paternity testing, where deductions about individuals' relationships rely on DNA mixtures, and in criminal cases where the contributors to a mixed DNA stain may be related. Relationships are represented by pedigrees and can include kinship between more than two individuals. The main function is relMix() and its graphical user interface relMixGUI(). The implementation and method is described in Dorum et al. (2017) <doi:doi.org/10.1007/s00414-016-1526-x>, Hernandis et al. (2019) <doi:doi.org/10.1016/j.fsigss.2019.09.085> and Kaur et al. (2016) <doi:doi.org/10.1007/s00414-015-1276-1>.
How to cite:
Guro Dorum (2015). relMix: Relationship Inference for DNA Mixtures. R package version 1.4.1, https://cran.r-project.org/web/packages/relMix. Accessed 07 Jun. 2026.
Previous versions and publish date:
1.0 (2015-12-09 21:44), 1.1 (2016-07-15 14:07), 1.2.2 (2016-12-14 17:23), 1.2.3 (2017-04-03 17:31), 1.2 (2016-09-18 17:41), 1.3.1 (2020-05-19 15:50), 1.3.2 (2020-11-07 01:30), 1.3.3 (2020-12-14 17:30), 1.3 (2019-02-19 09:30), 1.4 (2024-04-23 12:50)
Other packages that cited relMix R package
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Other R packages that relMix depends, imports, suggests or enhances
Complete documentation for relMix
Functions, R codes and Examples using the relMix R package
Full relMix package functions and examples
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