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-4.7-any)CodataGS_1.43.zip(r-4.6-any)CodataGS_1.43.zip(r-4.5-any)
CodataGS_1.43.tgz(r-4.6-any)CodataGS_1.43.tgz(r-4.5-any)
CodataGS_1.43.tar.gz(r-4.7-any)CodataGS_1.43.tar.gz(r-4.6-any)
CodataGS_1.43.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
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 from:86c42d095b. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 100 | ||
| source / vignettes | OK | 136 | ||
| linux-release | OK | 108 | ||
| macos-release | OK | 146 | ||
| macos-oldrel | OK | 171 | ||
| windows-devel | OK | 72 | ||
| windows-release | OK | 90 | ||
| windows-oldrel | OK | 80 | ||
| wasm-release | OK | 89 |
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 |