An R package VIGoR for joint estimation of multiple linear learners with variational Bayesian inference

SUMMARY: An R package that can implement multiple linear learners, including penalized regression and regression with spike and slab priors, in a single model has been developed. Solutions are obtained with fast minorize-maximization algorithms in the framework of variational Bayesian inference. Thi...

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Detalles Bibliográficos
Autores principales: Onogi, Akio, Arakawa, Aisaku
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Applications Notes
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9191213/
https://www.ncbi.nlm.nih.gov/pubmed/35575313
http://dx.doi.org/10.1093/bioinformatics/btac328

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9191213/
https://www.ncbi.nlm.nih.gov/pubmed/35575313
http://dx.doi.org/10.1093/bioinformatics/btac328

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