Other packages > Find by keyword >

EBPRS  

Derive Polygenic Risk Score Based on Emprical Bayes Theory
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("EBPRS", "2.1.0")



Attach the package and use:
library("EBPRS")
Maintained by
Shuang Song
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-11-03
Latest Update: 2020-08-26
Description:
EB-PRS is a novel method that leverages information for effect sizes across all the markers to improve the prediction accuracy. No parameter tuning is needed in the method, and no external information is needed. This R-package provides the calculation of polygenic risk scores from the given training summary statistics and testing data. We can use EB-PRS to extract main information, estimate Empirical Bayes parameters, derive polygenic risk scores for each individual in testing data, and evaluate the PRS according to AUC and predictive r2. See Song et al. (2020) for a detailed presentation of the method.
How to cite:
Shuang Song (2018). EBPRS: Derive Polygenic Risk Score Based on Emprical Bayes Theory. R package version 2.1.0, https://cran.r-project.org/web/packages/EBPRS. Accessed 06 Mar. 2026.
Previous versions and publish date:
1.0.1 (2018-11-03 16:30), 1.1.2 (2019-02-14 13:52), 1.1.5 (2019-08-07 10:50), 1.2.0 (2019-10-10 15:10), 1.2.1 (2019-10-12 09:10), 1.2.2 (2019-11-07 17:10), 2.0.1 (2020-01-16 17:50), 2.0.3 (2020-02-12 06:50), 2.0.4 (2020-07-10 12:10)
Other packages that cited EBPRS R package
View EBPRS citation profile
Other R packages that EBPRS depends, imports, suggests or enhances
Complete documentation for EBPRS
Functions, R codes and Examples using the EBPRS R package
Some associated functions: EBPRS . EBPRSpackage . read_plink . traindat . validate . 
Some associated R codes: agtc.R . exdata.R . extractInfo.R . findPara.R . findpara_ltdr.R . generateScore.R . packageEBPRS.R . printAUC.R . read_plink.R . snpEM.R . snpEMrobust.R . validate.R .  Full EBPRS package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
EMVS  
The Expectation-Maximization Approach to Bayesian Variable Selection
An efficient expectation-maximization algorithm for fitting Bayesian spike-and-slab regularization p ...
Download / Learn more Package Citations See dependency  
DatabionicSwarm  
Swarm Intelligence for Self-Organized Clustering
Algorithms implementing populations of agents that interact with one another and sense their environ ...
Download / Learn more Package Citations See dependency  
openxlsx  
Read, Write and Edit xlsx Files
Simplifies the creation of Excel .xlsx files by providing a high level interface to writing, stylin ...
Download / Learn more Package Citations See dependency  
mlr3viz  
Visualizations for 'mlr3'
Visualization package of the 'mlr3' ecosystem. It features plots for mlr3 objects such as tasks, le ...
Download / Learn more Package Citations See dependency  
lbfgs  
Limited-memory BFGS Optimization
A wrapper built around the libLBFGS optimization library by Naoaki Okazaki. The lbfgs package implem ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,244

Author Associations

26,265

Publication Badges

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