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-4.5)VIGoR_1.1.5.zip(r-4.4)VIGoR_1.1.5.zip(r-4.3)
VIGoR_1.1.5.tgz(r-4.5-x86_64)VIGoR_1.1.5.tgz(r-4.5-arm64)VIGoR_1.1.5.tgz(r-4.4-x86_64)VIGoR_1.1.5.tgz(r-4.4-arm64)VIGoR_1.1.5.tgz(r-4.3-x86_64)VIGoR_1.1.5.tgz(r-4.3-arm64)
VIGoR_1.1.5.tar.gz(r-4.5-noble)VIGoR_1.1.5.tar.gz(r-4.4-noble)
VIGoR_1.1.5.tgz(r-4.4-emscripten)VIGoR_1.1.5.tgz(r-4.3-emscripten)
VIGoR.pdf |VIGoR.html✨
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 7 months agofrom:ba0086978e. Checks:12 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 10 2025 |
| R-4.5-win-x86_64 | OK | Mar 10 2025 |
| R-4.5-mac-x86_64 | OK | Mar 10 2025 |
| R-4.5-mac-aarch64 | OK | Mar 10 2025 |
| R-4.5-linux-x86_64 | OK | Mar 10 2025 |
| R-4.4-win-x86_64 | OK | Mar 10 2025 |
| R-4.4-mac-x86_64 | OK | Mar 10 2025 |
| R-4.4-mac-aarch64 | OK | Mar 10 2025 |
| R-4.4-linux-x86_64 | OK | Mar 10 2025 |
| R-4.3-win-x86_64 | OK | Mar 10 2025 |
| R-4.3-mac-x86_64 | OK | Mar 10 2025 |
| R-4.3-mac-aarch64 | OK | Mar 10 2025 |
Exports:hyperparapredict_vigorvigor
Dependencies:
