Package: renyi 1.0.0

renyi: Renyi Outlier Test

renyi implements the Renyi Outlier Test <arxiv:2411.13542>, an outlier test designed for modern large scale testing applications, especially where prior information available. The test combines a vector of independent uniform p-values into one p-value with power against alternatives where a small number of p-values are non-null. The test can leverage prior probabilities/weights specifying which variables are likely to be outliers and prior estimates of effect size. The procedure is fast even when the number of initial p-values is large (e.g. in the millions) and numerically stable even for very small p-values (e.g. 10^-300).

Authors:Ryan Christ <[email protected]>

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

Bug tracker:https://github.com/ryanchrist/renyi/issues

On CRAN:

2.00 score 2 exports 0 dependencies

Last updated 3 months agofrom:6c5ebcf279. Checks:8 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKFeb 01 2025
R-4.5-winOKFeb 01 2025
R-4.5-macOKFeb 01 2025
R-4.5-linuxOKFeb 01 2025
R-4.4-winOKFeb 01 2025
R-4.4-macOKFeb 01 2025
R-4.3-winOKFeb 01 2025
R-4.3-macOKFeb 01 2025

Exports:generalized_renyi_transformrenyi

Dependencies: