Package: CodataGS 1.43
CodataGS: Genomic Prediction Using SNP Codata
Computes genomic breeding values using external information on the markers. The package fits a linear mixed model with heteroscedastic random effects, where the random effect variance is fitted using a linear predictor and a log link. The method is described in Mouresan, Selle and Ronnegard (2019) <doi:10.1101/636746>.
Authors:
CodataGS_1.43.tar.gz
CodataGS_1.43.zip(r-4.5)CodataGS_1.43.zip(r-4.4)CodataGS_1.43.zip(r-4.3)
CodataGS_1.43.tgz(r-4.4-any)CodataGS_1.43.tgz(r-4.3-any)
CodataGS_1.43.tar.gz(r-4.5-noble)CodataGS_1.43.tar.gz(r-4.4-noble)
CodataGS_1.43.tgz(r-4.4-emscripten)CodataGS_1.43.tgz(r-4.3-emscripten)
CodataGS.pdf |CodataGS.html✨
CodataGS/json (API)
| # Install 'CodataGS' in R: |
| install.packages('CodataGS', repos = c('https://larsronn.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 years agofrom:86c42d095b. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 23 2024 |
| R-4.5-win | OK | Nov 23 2024 |
| R-4.5-linux | OK | Nov 23 2024 |
| R-4.4-win | OK | Nov 23 2024 |
| R-4.4-mac | OK | Nov 23 2024 |
| R-4.3-win | OK | Nov 23 2024 |
| R-4.3-mac | OK | Nov 23 2024 |
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Genomic Prediction Using SNP Codata | CodataGS-package CodataGS |
| Computes genomic relationship matrix | compute_GL |
| Computes models for the variance components | compute_phitau |
| Performs genomic prediction based on SNP codata. | genomicEBV.w.codata |
| Transforms hat values | hat.transf |
| Mixed model equations | MME |
| Scales the genotype matrix. | scaleZ |
| Summary method for CodataGS objects | summary summary.CodataGS |
| Transforms hat values | Transform |
