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:Akio Onogi [aut, cre, cph], Hiroyoshi Iwata [cph], Takuji Nishimura [ctb], Makoto Matsumoto [ctb], STRUCTURE software contributors [ctb], Alan Miller [ctb], Peter Beerli [ctb]

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-4.4-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)

Peer review:

Bug tracker:https://github.com/onogi/vigor/issues

On CRAN:

3 exports 1 stars 1.44 score 0 dependencies 2 mentions 7 scripts 886 downloads

Last updated 7 days agofrom:ba0086978e. Checks:OK: 9. Indexed: yes.

Exports:hyperparapredict_vigorvigor

Dependencies: