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EBrank  

Empirical Bayes Ranking
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("EBrank", "1.0.0")



Attach the package and use:
library("EBrank")
Maintained by
John Ferguson
[Scholar Profile | Author Map]
First Published: 2017-01-12
Latest Update: 2017-01-12
Description:
Empirical Bayes ranking applicable to parallel-estimation settings where the estimated parameters are asymptotically unbiased and normal, with known standard errors. A mixture normal prior for each parameter is estimated using Empirical Bayes methods, subsequentially ranks for each parameter are simulated from the resulting joint posterior over all parameters (The marginal posterior densities for each parameter are assumed independent). Finally, experiments are ordered by expected posterior rank, although computations minimizing other plausible rank-loss functions are also given.
How to cite:
John Ferguson (2017). EBrank: Empirical Bayes Ranking. R package version 1.0.0, https://cran.r-project.org/web/packages/EBrank. Accessed 08 Apr. 2025.
Previous versions and publish date:
No previous versions
Other packages that cited EBrank R package
View EBrank citation profile
Other R packages that EBrank depends, imports, suggests or enhances
Complete documentation for EBrank
Functions, R codes and Examples using the EBrank R package
Some associated functions: EBrank . rankEM . 
Some associated R codes: EBrank.R .  Full EBrank package functions and examples
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