Other packages > Find by keyword >

BayesS5  

Bayesian Variable Selection Using Simplified Shotgun Stochastic Search with Screening (S5)
View on CRAN: Click here


Download and install BayesS5 package within the R console
Install from CRAN:
install.packages("BayesS5")

Install from Github:
library("remotes")
install_github("cran/BayesS5")

Install by package version:
library("remotes")
install_version("BayesS5", "1.41")



Attach the package and use:
library("BayesS5")
Maintained by
Minsuk Shin
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-01-17
Latest Update: 2020-03-24
Description:
In p >> n settings, full posterior sampling using existing Markov chain Monte Carlo (MCMC) algorithms is highly inefficient and often not feasible from a practical perspective. To overcome this problem, we propose a scalable stochastic search algorithm that is called the Simplified Shotgun Stochastic Search (S5) and aimed at rapidly explore interesting regions of model space and finding the maximum a posteriori(MAP) model. Also, the S5 provides an approximation of posterior probability of each model (including the marginal inclusion probabilities). This algorithm is a part of an article titled "Scalable Bayesian Variable Selection Using Nonlocal Prior Densities in Ultrahigh-dimensional Settings" (2018) by Minsuk Shin, Anirban Bhattacharya, and Valen E. Johnson and "Nonlocal Functional Priors for Nonparametric Hypothesis Testing and High-dimensional Model Selection" (2020+) by Minsuk Shin and Anirban Bhattacharya.
How to cite:
Minsuk Shin (2017). BayesS5: Bayesian Variable Selection Using Simplified Shotgun Stochastic Search with Screening (S5). R package version 1.41, https://cran.r-project.org/web/packages/BayesS5. Accessed 02 Sep. 2026.
Previous versions and publish date:
1.22 (2017-01-17 19:07), 1.30 (2017-02-24 23:33), 1.31 (2018-10-26 08:20), 1.40 (2020-03-23 12:10), (2026-07-09 07:58)
Other packages that cited BayesS5 R package
View BayesS5 citation profile
Other R packages that BayesS5 depends, imports, suggests or enhances
Complete documentation for BayesS5
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

VIM  
Visualization and Imputation of Missing Values
New tools for the visualization of missing and/or imputed values are introduced, which can be used f ...
Download / Learn more Package Citations See dependency  
recmap  
Compute the Rectangular Statistical Cartogram
Implements the RecMap MP2 construction heuristic . This algorithm draw ...
Download / Learn more Package Citations See dependency  
multicmp  
Flexible Modeling of Multivariate Count Data via the Multivariate Conway-Maxwell-Poisson Distribution
A toolkit containing statistical analysis models motivated by multivariate forms of the Conway-Maxwe ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
ggsci  
Scientific Journal and Sci-Fi Themed Color Palettes for 'ggplot2'
A collection of 'ggplot2' color palettes inspired by plots in scientific journals, data visualizati ...
Download / Learn more Package Citations See dependency  

28,437

R Packages

239,283

Dependencies

75,283

Author Associations

28,438

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA