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>.

Version: 1.1.2
Depends: R (≥ 3.3.0)
Imports: Rcpp (≥ 1.0.5), data.table, parallel, statmod, stats, MCMCpack, MASS, coda, corpcor
LinkingTo: Rcpp, RcppArmadillo
Published: 2023-09-07
DOI: 10.32614/CRAN.package.qgg
Author: Peter Soerensen [aut, cre], Palle Duun Rohde [aut], Izel Fourie Soerensen [aut]
Maintainer: Peter Soerensen <peter.sorensen at r-qgg.org>
BugReports: https://github.com/psoerensen/qgg/issues
License: GPL-3
URL: https://github.com/psoerensen/qgg
NeedsCompilation: yes
Materials: README NEWS
In views: Agriculture
CRAN checks: qgg results


Reference manual: qgg.pdf


Package source: qgg_1.1.2.tar.gz
Windows binaries: r-devel: qgg_1.1.2.zip, r-release: qgg_1.1.2.zip, r-oldrel: qgg_1.1.2.zip
macOS binaries: r-release (arm64): qgg_1.1.2.tgz, r-oldrel (arm64): qgg_1.1.2.tgz, r-release (x86_64): qgg_1.1.2.tgz, r-oldrel (x86_64): qgg_1.1.2.tgz
Old sources: qgg archive


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