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bravo  

Bayesian Screening and Variable Selection
View on CRAN: Click here


Download and install bravo package within the R console
Install from CRAN:
install.packages("bravo")

Install from Github:
library("remotes")
install_github("cran/bravo")

Install by package version:
library("remotes")
install_version("bravo", "3.2.2")



Attach the package and use:
library("bravo")
Maintained by
Dongjin Li
[Scholar Profile | Author Map]
First Published: 2020-09-22
Latest Update: 2023-08-26
Description:
Performs Bayesian variable screening and selection for ultra-high dimensional linear regression models.
How to cite:
Dongjin Li (2020). bravo: Bayesian Screening and Variable Selection. R package version 3.2.2, https://cran.r-project.org/web/packages/bravo. Accessed 02 Apr. 2025.
Previous versions and publish date:
1.0.3 (2020-09-22 10:20), 1.0.5 (2021-06-23 09:20), 2.0.0 (2021-07-20 06:50), 2.0.1 (2021-09-22 06:30), 2.1.1 (2021-10-26 01:00), 2.1.2 (2021-11-12 06:20), 2.2.1 (2023-04-25 07:10), 2.3.1 (2023-08-27 00:40), 3.2.1 (2024-05-13 21:13)
Other packages that cited bravo R package
View bravo citation profile
Other R packages that bravo depends, imports, suggests or enhances
Complete documentation for bravo
Functions, R codes and Examples using the bravo R package
Some associated functions: bits . predict.sven . sven . 
Some associated R codes: RcppExports.R . addpara.R . cal_logp.R . delvar.R . predIntv.R . predPoint.R . predict.sven.R . sven.R . sven.notemp.R . sven.temp.R . swapvar.R .  Full bravo package functions and examples
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