Package: bayefdr 0.2.0

Alan OCallaghan

bayefdr: Bayesian Estimation and Optimisation of Expected False Discovery Rate

Implements the Bayesian FDR control described by Newton et al. (2004), <doi:10.1093/biostatistics/5.2.155>. Allows optimisation and visualisation of expected error rates based on tail posterior probability tests. Based on code written by Catalina Vallejos for BASiCS, see Beyond comparisons of means: understanding changes in gene expression at the single-cell level Vallejos et al. (2016) <doi:10.1186/s13059-016-0930-3>.

Authors:Alan O'Callaghan [aut, cre], Catalina Vallejos [aut]

bayefdr_0.2.0.tar.gz
bayefdr_0.2.0.zip(r-4.5)bayefdr_0.2.0.zip(r-4.4)bayefdr_0.2.0.zip(r-4.3)
bayefdr_0.2.0.tgz(r-4.4-any)bayefdr_0.2.0.tgz(r-4.3-any)
bayefdr_0.2.0.tar.gz(r-4.5-noble)bayefdr_0.2.0.tar.gz(r-4.4-noble)
bayefdr_0.2.0.tgz(r-4.4-emscripten)bayefdr_0.2.0.tgz(r-4.3-emscripten)
bayefdr.pdf |bayefdr.html
bayefdr/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/vallejosgroup/bayefdr/issues

On CRAN:

2.70 score 1 scripts 297 downloads 6 exports 69 dependencies

Last updated 3 years agofrom:319682517c. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 12 2024
R-4.5-winOKNov 12 2024
R-4.5-linuxOKNov 12 2024
R-4.4-winOKNov 12 2024
R-4.4-macOKNov 12 2024
R-4.3-winOKNov 12 2024
R-4.3-macOKNov 12 2024

Exports:cumplotefdrefdr_searchefnroptimaltraceplot

Dependencies:assertthatbase64encbslibcachemclicolorspacecolourpickercommonmarkcowplotcrayondigestevaluatefansifarverfastmapfontawesomefsggExtraggplot2gluegtablehighrhtmltoolshtmlwidgetshttpuvisobandjquerylibjsonliteknitrlabelinglaterlatticelifecyclemagrittrMASSMatrixmemoisemgcvmimeminiUImunsellnlmepillarpkgconfigplyrpromisesR6rappdirsRColorBrewerRcppreshape2rlangrmarkdownsassscalesshinyshinyjssourcetoolsstringistringrtibbletinytexutf8vctrsviridisLitewithrxfunxtableyaml