kostasgian21/heteroplasmy: Calculation of the standard error of the variance for heteroplasmy data

The package offers different methods to quantify uncertainty by calculating the standard errros of the variance of given data. The included functions are primarily aimed to heteroplasmy data, which are not assumed to follow a predefined distribution and the sample size is usually low. Included, there is a set of synthetic datasets to use, as well as real heteroplasmy data from mouse specimen, found in Burgstaller et al. (2018) [https://doi.org/10.1038/s41467-018-04797-2]. The code and the methods described in the package are used in [Giannakis, K., Broz, A.K., Sloan, D.B. and Johnston, I.G., 2023. Avoiding misleading estimates using mtDNA heteroplasmy statistics to study bottleneck size and selection. G3: Genes, Genomes, Genetics, 13(6)], so please cite that work in case you use the heteroplasmy package.

Getting started

Package details

Maintainer
License`use_mit_license()`, `use_gpl3_license()` or friends to pick a license
Version0.0.3.1
URL https://github.com/kostasgian21/heteroplasmy
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("kostasgian21/heteroplasmy")
kostasgian21/heteroplasmy documentation built on Jan. 30, 2024, 12:30 a.m.