Package: qgg 1.1.2
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>.
Authors:
qgg_1.1.2.tar.gz
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qgg_1.1.2.tar.gz(r-4.5-noble)qgg_1.1.2.tar.gz(r-4.4-noble)
qgg.pdf |qgg.html✨
qgg/json (API)
NEWS
# Install 'qgg' in R: |
install.packages('qgg', repos = c('https://psoerensen.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/psoerensen/qgg/issues
Last updated 3 hours agofrom:27463e5399. Checks:OK: 1 WARNING: 8. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 22 2024 |
R-4.5-win-x86_64 | WARNING | Nov 22 2024 |
R-4.5-linux-x86_64 | WARNING | Nov 22 2024 |
R-4.4-win-x86_64 | WARNING | Nov 22 2024 |
R-4.4-mac-x86_64 | WARNING | Nov 22 2024 |
R-4.4-mac-aarch64 | WARNING | Nov 22 2024 |
R-4.3-win-x86_64 | WARNING | Nov 22 2024 |
R-4.3-mac-x86_64 | WARNING | Nov 22 2024 |
R-4.3-mac-aarch64 | WARNING | Nov 22 2024 |
Exports:accadjLDadjLDStatadjStatadjustBadjustMapLDcheckStatcomputeROCcomputeStatdesignMatrixgbayesgblupgetGgetGRMgetLDgetLDsetsgetMapgetMarkersgetPosgetSparseLDgfilterglmagmapgprepgremlgrmgscoregseagsimgsimCgsimRgsolveldscldscoremagmamapSetsmapStatmergeGRMmtadjplotBayesplotForestplotLDplotROCpopspredict_auc_mt_ccpredict_auc_mt_continuouspredict_auc_stpredict_r2_mtpredict_r2_stsplitWithOverlapvegaswriteBED
Dependencies:codacorpcordata.tablelatticeMASSMatrixMatrixModelsmcmcMCMCpackquantregRcppRcppArmadilloSparseMstatmodsurvival