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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: | 1.1.6 |
Depends: | R (≥ 3.3.0) |
Imports: | Rcpp (≥ 1.0.5), data.table, parallel, statmod, stats, MCMCpack, MASS, coda, corpcor, Matrix, methods |
LinkingTo: | Rcpp, RcppArmadillo |
Published: | 2024-12-16 |
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_1.1.6.tar.gz |
Windows binaries: | r-devel: qgg_1.1.6.zip, r-release: qgg_1.1.6.zip, r-oldrel: qgg_1.1.6.zip |
macOS binaries: | r-release (arm64): qgg_1.1.6.tgz, r-oldrel (arm64): qgg_1.1.6.tgz, r-release (x86_64): qgg_1.1.6.tgz, r-oldrel (x86_64): qgg_1.1.6.tgz |
Old sources: | qgg archive |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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