Other packages > Find by keyword >

PEPBVS  

Bayesian Variable Selection using Power-Expected-Posterior Prior
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("PEPBVS", "2.2")



Attach the package and use:
library("PEPBVS")
Maintained by
Konstantina Charmpi
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-09-19
Latest Update: 2024-11-12
Description:
Performs Bayesian variable selection under normal linear models for the data with the model parameters following as prior either the power-expected-posterior (PEP) or the intrinsic (a special case of the former) (Fouskakis and Ntzoufras (2022) , Fouskakis and Ntzoufras (2020) ). The prior distribution on model space is the uniform on model space or the uniform on model dimension (a special case of the beta-binomial prior). The selection can be done either with full enumeration of all possible models or using the Markov Chain Monte Carlo Model Composition (MC3) algorithm (Madigan and York (1995) ). Complementary functions for making predictions, as well as plotting and printing the results are also provided.
How to cite:
Konstantina Charmpi (2023). PEPBVS: Bayesian Variable Selection using Power-Expected-Posterior Prior. R package version 2.2, https://cran.r-project.org/web/packages/PEPBVS. Accessed 06 Oct. 2026.
Previous versions and publish date:
(2026-07-09 08:16), 1.0 (2023-09-19 18:40), 2.0 (2024-10-30 11:50), 2.1 (2024-11-12 10:50)
Other packages that cited PEPBVS R package
View PEPBVS citation profile
Other R packages that PEPBVS depends, imports, suggests or enhances
Complete documentation for PEPBVS
Functions, R codes and Examples using the PEPBVS R package
Full PEPBVS package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

gRim  
Graphical Interaction Models
Provides the following types of models: Models for contingency tables (i.e. log-linear models) Grap ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
gecko  
Geographical Ecology and Conservation Knowledge Online
Includes a collection of geographical analysis functions aimed primarily at ecology and conservation ...
Download / Learn more Package Citations See dependency  

28,905

R Packages

247,686

Dependencies

76,495

Author Associations

28,906

Publication Badges

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