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:
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')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:6db1fad948. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Dec 09 2024 |
| R-4.5-linux-x86_64 | OK | Dec 09 2024 |
Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigplyrqvalueR6RColorBrewerRcppRcppArmadilloreshape2rlangscalesstringistringrtibbleutf8vctrsviridisLitewithr
