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 |
Documentation:
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