Package: fdrci 2.4

fdrci: Permutation-Based FDR Point and Confidence Interval Estimation

FDR functions for permutation-based estimators, including pi0 as well as FDR confidence intervals. The confidence intervals account for dependencies between tests by the incorporation of an overdispersion parameter, which is estimated from the permuted data. Also included are options for an analog parametric approach.

Authors:Joshua Millstein [aut, cre]

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fdrci.pdf |fdrci.html✨
fdrci/json (API)

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

Peer review:

On CRAN:

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

2.78 score 12 scripts 259 downloads 5 exports 28 dependencies

Last updated 2 years agofrom:71f31bd0f7. Checks:OK: 4 NOTE: 2 ERROR: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 29 2024
R-4.5-winERROROct 29 2024
R-4.5-linuxOKOct 29 2024
R-4.4-winNOTEOct 29 2024
R-4.4-macNOTEOct 29 2024
R-4.3-winOKOct 29 2024
R-4.3-macOKOct 29 2024

Exports:fdr_odFDRplotfdrTblmeff.jmMV_q

Dependencies:clicolorspacefansifarverggplot2gluegtableisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigR6RColorBrewerrlangscalestibbleutf8vctrsviridisLitewithr

fdrci: FDR selection and adjustment - HGSOC

Joshua Millstein

Rendered fromBY_vignette.Rmdusingknitr::rmarkdownon Oct 29 2024.

Last update: 2022-10-18
Started: 2022-06-07