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: | 1.1.6 |
| 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 |
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