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bayefdr
View on CRAN: Click
here
Download and install bayefdr package within the R console
Install from CRAN:
install.packages("bayefdr")
Install from Github:
library("remotes")
install_github("cran/bayefdr")
Install by package version:
library("remotes")
install_version("bayefdr", "0.2.1")
Attach the package and use:
library("bayefdr")
Maintained by
Alan O'Callaghan
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-07-30
Latest Update: 2022-10-26
Description:
Implements the Bayesian FDR control described by
Newton et al. (2004), .
Allows optimisation and visualisation of expected error rates based on
tail posterior probability tests.
Based on code written by Catalina Vallejos for BASiCS, see
Beyond comparisons of means: understanding changes in gene expression at the
single-cell level Vallejos et al. (2016) .
How to cite:
Alan O'Callaghan (2020). bayefdr: Bayesian Estimation and Optimisation of Expected False Discovery Rate. R package version 0.2.1, https://cran.r-project.org/web/packages/bayefdr
Other packages that cited bayefdr R package
View bayefdr citation profile
Other R packages that bayefdr depends,
imports, suggests or enhances
Functions, R codes and Examples using
the bayefdr R package
Some associated functions: bayefdr-package . cumplot . efdr-efnr . efdr_search . optimal . plot.bayefdr . traceplot . utils .
Some associated R codes: bayefdr-package.R . bayefdr.R . cumplot.R . traceplot.R . Full bayefdr package functions and examples
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