Package: VIGoR 1.1.5
VIGoR: Variational Bayesian Inference for Genome-Wide Regression
Conducts linear regression using variational Bayesian inference, particularly optimized for genome-wide association mapping and whole-genome prediction which use a number of DNA markers as the explanatory variables. Provides seven regression models which select the important variables (i.e., the variables related to response variables) among the given explanatory variables in different ways (i.e., model structures).
Authors:
VIGoR_1.1.5.tar.gz
VIGoR_1.1.5.zip(r-4.7-x86_64)VIGoR_1.1.5.zip(r-4.7-arm64)VIGoR_1.1.5.zip(r-4.6-x86_64)VIGoR_1.1.5.zip(r-4.6-arm64)VIGoR_1.1.5.zip(r-4.5-x86_64)
VIGoR_1.1.5.tgz(r-4.6-x86_64)VIGoR_1.1.5.tgz(r-4.6-arm64)VIGoR_1.1.5.tgz(r-4.5-x86_64)VIGoR_1.1.5.tgz(r-4.5-arm64)
VIGoR_1.1.5.tar.gz(r-4.7-arm64)VIGoR_1.1.5.tar.gz(r-4.7-x86_64)VIGoR_1.1.5.tar.gz(r-4.6-arm64)VIGoR_1.1.5.tar.gz(r-4.6-x86_64)
VIGoR_1.1.5.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
VIGoR/json (API)
| # Install 'VIGoR' in R: |
| install.packages('VIGoR', repos = c('https://onogi.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/onogi/vigor/issues
Last updated from:ba0086978e. Checks:15 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 70 | ||
| linux-devel-x86_64 | OK | 93 | ||
| source / vignettes | OK | 127 | ||
| linux-release-arm64 | OK | 112 | ||
| linux-release-x86_64 | OK | 89 | ||
| macos-release-arm64 | OK | 103 | ||
| macos-release-x86_64 | OK | 243 | ||
| macos-oldrel-arm64 | OK | 108 | ||
| macos-oldrel-x86_64 | OK | 295 | ||
| windows-devel-arm64 | OK | 418 | ||
| windows-devel-x86_64 | OK | 99 | ||
| windows-release-arm64 | OK | 314 | ||
| windows-release-x86_64 | OK | 83 | ||
| windows-oldrel-x86_64 | OK | 77 | ||
| wasm-release | OK | 84 |
Exports:hyperparapredict_vigorvigor
Dependencies:
