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fcfdr  

Flexible cFDR
View on CRAN: Click here


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

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

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



Attach the package and use:
library("fcfdr")
Maintained by
Anna Hutchinson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-02-07
Latest Update: 2022-02-07
Description:
Provides functions to implement the Flexible cFDR (Hutchinson et al. (2021) ) and Binary cFDR (Hutchinson et al. (2021) ) methodologies to leverage auxiliary data from arbitrary distributions, for example functional genomic data, with GWAS p-values to generate re-weighted p-values.
How to cite:
Anna Hutchinson (2022). fcfdr: Flexible cFDR. R package version 1.0.0, https://cran.r-project.org/web/packages/fcfdr
Previous versions and publish date:
No previous versions
Other packages that cited fcfdr R package
View fcfdr citation profile
Other R packages that fcfdr depends, imports, suggests or enhances
Functions, R codes and Examples using the fcfdr R package
Some associated functions: T1D_application_data . binary_cfdr . corr_plot . flexible_cfdr . log10pv_plot . match_ind_maf . parameters_in_locfdr . pv_plot . stratified_qqplot . 
Some associated R codes: binary_cfdr.R . data.R . flexible_cfdr.R . locmle_local.R . plot_functions.R .  Full fcfdr package functions and examples
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