Package: STAREG
Type: Package
Title: An Empirical Bayes Approach for Replicability Analysis Across
        Two Studies
Version: 1.0.3
Authors@R: c(person("Yan Li", role = c("aut", "cre", "cph"), email = "yanli_@jlu.edu.cn"), person("Xiang Zhou", role = c("aut")), person("Rui Chen", role = c("aut")), person("Xianyang Zhang", role = c("aut")), person("Hongyuan Cao", role = c("aut", "ctb")))
Description: A robust and powerful empirical Bayesian approach is developed for replicability analysis of two large-scale experimental studies. The method controls the false discovery rate by using the joint local false discovery rate based on the replicability null as the test statistic. An EM algorithm combined with a shape constraint nonparametric method is used to estimate unknown parameters and functions. [Li, Y. et al., (2023), <https://www.biorxiv.org/content/10.1101/2023.05.30.542607v1>].
License: GPL-3
Encoding: UTF-8
Depends: Rcpp (>= 1.0.9), qvalue
LinkingTo: Rcpp, RcppArmadillo
RoxygenNote: 7.2.3
NeedsCompilation: yes
Packaged: 2023-08-15 14:16:28 UTC; P53
Author: Yan Li [aut, cre, cph],
  Xiang Zhou [aut],
  Rui Chen [aut],
  Xianyang Zhang [aut],
  Hongyuan Cao [aut, ctb]
Maintainer: Yan Li <yanli_@jlu.edu.cn>
Repository: CRAN
Date/Publication: 2023-08-15 14:40:02 UTC
Built: R 4.2.0; x86_64-apple-darwin17.0; 2023-08-16 11:01:57 UTC; unix
Archs: STAREG.so.dSYM
