psoerensen/qgg: Statistical Tools for Quantitative Genetic Analyses

Provides an infrastructure for efficient processing of large-scale genetic and phenotypic data including core functions for: 1) fitting linear mixed models, 2) constructing marker-based genomic relationship matrices, 3) estimating genetic parameters (heritability and correlation), 4) performing genomic prediction and genetic risk profiling, and 5) single or multi-marker association analyses. Rohde et al. (2019) <doi:10.1101/503631>.

Getting started

Package details

MaintainerPeter Soerensen <peter.sorensen@r-qgg.org>
LicenseGPL-3
Version1.1.6
URL https://github.com/psoerensen/qgg
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("psoerensen/qgg")
psoerensen/qgg documentation built on March 29, 2025, 6:36 p.m.