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", "2.1")



Attach the package and use:
library("PEPBVS")
Maintained by
Konstantina Charmpi
[Scholar Profile | Author Map]
First Published: 2023-09-19
Latest Update: 2023-09-19
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 2.1, https://cran.r-project.org/web/packages/PEPBVS. Accessed 05 May. 2025.
Previous versions and publish date:
1.0 (2023-09-19 18:40), 2.0 (2024-10-30 11:50)
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
04/0504/0604/0704/0804/0904/1004/1104/1204/1304/1404/1504/1604/1704/1804/1904/2004/2104/2204/2304/2404/2504/2604/2704/2804/2904/3005/0105/0205/0305/04Downloads for PEPBVS0102030405060TrendBars

Today's Hot Picks in Authors and Packages

ClickHouseHTTP  
A Simple HTTP Database Interface to 'ClickHouse'
'ClickHouse' () is an open-source, high performance columnar OLAP (online ...
Download / Learn more Package Citations See dependency  
affinitymatrix  
Estimation of Affinity Matrix
Tools to study sorting patterns in matching markets and to estimate the affinity matrix of both the ...
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  
aspline  
Spline Regression with Adaptive Knot Selection
Perform one-dimensional spline regression with automatic knot selection. This package uses a penali ...
Download / Learn more Package Citations See dependency  
helloJavaWorld  
Hello Java World
A dummy package to demonstrate how to interface to a jar file that resides inside an R package. ...
Download / Learn more Package Citations See dependency  
frailtypack  
Shared, Joint (Generalized) Frailty Models; Surrogate Endpoints
The following several classes of frailty models using a penalized likelihood estimation on the hazar ...
Download / Learn more Package Citations See dependency  

24,205

R Packages

207,311

Dependencies

65,312

Author Associations

24,206

Publication Badges

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