Package: STAREG 1.0.3

Yan Li

STAREG: An Empirical Bayes Approach for Replicability Analysis Across Two Studies

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>].

Authors:Yan Li [aut, cre, cph], Xiang Zhou [aut], Rui Chen [aut], Xianyang Zhang [aut], Hongyuan Cao [aut, ctb]

STAREG_1.0.3.tar.gz
STAREG_1.0.3.tar.gz(r-4.5-noble)STAREG_1.0.3.tar.gz(r-4.4-noble)
STAREG_1.0.3.tgz(r-4.4-emscripten)STAREG_1.0.3.tgz(r-4.3-emscripten)
STAREG.pdf |STAREG.html
STAREG/json (API)

# Install 'STAREG' in R:
install.packages('STAREG', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
  • openmp– GCC OpenMP (GOMP) support library

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascppopenmp

1.00 score 149 downloads 2 exports 35 dependencies

Last updated 1 years agofrom:6db1fad948. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKDec 09 2024
R-4.5-linux-x86_64OKDec 09 2024

Exports:em_lfdrstareg

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrqvalueR6RColorBrewerRcppRcppArmadilloreshape2rlangscalesstringistringrtibbleutf8vctrsviridisLitewithr