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LFDREmpiricalBayes

Estimating Local False Discovery Rates Using Empirical Bayes Methods

v1.0 · Sep 27, 2017 · GPL-3

Description

New empirical Bayes methods aiming at analyzing the association of single nucleotide polymorphisms (SNPs) to some particular disease are implemented in this package. The package uses local false discovery rate (LFDR) estimates of SNPs within a sample population defined as a "reference class" and discovers if SNPs are associated with the corresponding disease. Although SNPs are used throughout this document, other biological data such as protein data and other gene data can be used. Karimnezhad, Ali and Bickel, D. R. (2016) <http://hdl.handle.net/10393/34889>.

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CRAN incoming feasibility

Maintainer: ‘Ali Karimnezhad <ali_karimnezhad@yahoo.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Ali",
                      family = "Karimnezhad",
                      role = c("aut", "cre"),
                      email = "ali_karimnezhad@yahoo.com"),
               person(given = "Johnary",
                      family = "Kim",
                      role = "aut"),
               person(given = "Anna",
                      family = "Akpawu",
                      role = "aut"),
               person(given = "Justin",
                      family = "Chitpin",
                      role = "aut"),
               person(given = c("David", "R"),
                      family = "Bickel",
                      role = "aut"))
as necessary.
NOTE r-devel-linux-x86_64-debian-gcc

CRAN incoming feasibility

Maintainer: ‘Ali Karimnezhad <ali_karimnezhad@yahoo.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Ali",
                      family = "Karimnezhad",
                      role = c("aut", "cre"),
                      email = "ali_karimnezhad@yahoo.com"),
               person(given = "Johnary",
                      family = "Kim",
                      role = "aut"),
               person(given = "Anna",
                      family = "Akpawu",
                      role = "aut"),
               person(given = "Justin",
                      family = "Chitpin",
                      role = "aut"),
               person(given = c("David", "R"),
                      family = "Bickel",
                      role = "aut"))
as necessary.

Check History

NOTE 12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
NOTE r-devel-linux-x86_64-debian-clang

CRAN incoming feasibility

Maintainer: ‘Ali Karimnezhad <ali_karimnezhad@yahoo.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Ali",
                      family = "Karimnezhad",
                      role = c("aut", "cre"),
 
...[truncated]...
        person(given = "Justin",
                      family = "Chitpin",
                      role = "aut"),
               person(given = c("David", "R"),
                      family = "Bickel",
                      role = "aut"))
as necessary.
NOTE r-devel-linux-x86_64-debian-gcc

CRAN incoming feasibility

Maintainer: ‘Ali Karimnezhad <ali_karimnezhad@yahoo.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = "Ali",
                      family = "Karimnezhad",
                      role = c("aut", "cre"),
 
...[truncated]...
        person(given = "Justin",
                      family = "Chitpin",
                      role = "aut"),
               person(given = c("David", "R"),
                      family = "Bickel",
                      role = "aut"))
as necessary.

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Dependencies Reverse dependencies matrixStats R6 CorrectedFDR LFDREmpiricalBayes

Version History

new 1.0 Mar 10, 2026