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-4.7)bayefdr_0.2.0.zip(r-4.6)bayefdr_0.2.0.zip(r-4.5)
bayefdr_0.2.0.tgz(r-4.6-any)bayefdr_0.2.0.tgz(r-4.5-any)
bayefdr_0.2.0.tar.gz(r-4.7-any)bayefdr_0.2.0.tar.gz(r-4.6-any)
bayefdr_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
bayefdr/json (API)
NEWS

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

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

On CRAN:

Conda:

2.70 score 1 scripts 261 downloads 6 exports 59 dependencies

Last updated from:319682517c. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK154
source / vignettesOK158
linux-release-x86_64OK131
macos-release-arm64OK147
macos-oldrel-arm64OK191
windows-develOK102
windows-releaseOK84
windows-oldrelOK93
wasm-releaseOK122

Exports:cumplotefdrefdr_searchefnroptimaltraceplot

Dependencies:assertthatbase64encbslibcachemclicolourpickercommonmarkcowplotcpp11digestevaluatefarverfastmapfontawesomefsggExtraggplot2gluegtablehighrhtmltoolshtmlwidgetshttpuvisobandjquerylibjsonliteknitrlabelinglaterlifecyclemagrittrmemoisemimeminiUIotelplyrpromisesR6rappdirsRColorBrewerRcppreshape2rlangrmarkdownS7sassscalesshinyshinyjssourcetoolsstringistringrtinytexvctrsviridisLitewithrxfunxtableyaml