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-any)bayefdr_0.2.0.zip(r-4.6-any)bayefdr_0.2.0.zip(r-4.5-any)
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✨
DESCRIPTION |NEWS
card.svg |card.png
bayefdr/json (API)

# 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 424 downloads 6 exports 59 dependencies

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

TargetResultTimeFilesSyslog
linux-develOK133
source / vignettesOK178
linux-releaseOK124
macos-releaseOK102
macos-oldrelOK127
windows-develOK81
windows-releaseOK97
windows-oldrelOK92
wasm-releaseOK122

Exports:cumplotefdrefdr_searchefnroptimaltraceplot

Dependencies:assertthatbase64encbslibcachemclicolourpickercommonmarkcowplotcpp11digestevaluatefarverfastmapfontawesomefsggExtraggplot2gluegtablehighrhtmltoolshtmlwidgetshttpuvisobandjquerylibjsonliteknitrlabelinglaterlifecyclemagrittrmemoisemimeminiUIotelplyrpromisesR6rappdirsRColorBrewerRcppreshape2rlangrmarkdownS7sassscalesshinyshinyjssourcetoolsstringistringrtinytexvctrsviridisLitewithrxfunxtableyaml