Package: bboushiny 0.2.1

Pearson Ayla

bboushiny: Shiny App for Analysing Boreal Caribou Surival, Recruitment and Lambda

Use Bayesian methods to calculate survival, recruitment and lambda as well as confidence intervals.

Authors:Pearson Ayla [aut, cre], Joe Thorley [ctb], Seb Dalgarno [ctb], Environment and Climate Change Canada [cph], Province of Alberta [cph]

bboushiny_0.2.1.tar.gz
bboushiny_0.2.1.zip(r-4.5)bboushiny_0.2.1.zip(r-4.4)bboushiny_0.2.1.zip(r-4.3)
bboushiny_0.2.1.tgz(r-4.4-any)bboushiny_0.2.1.tgz(r-4.3-any)
bboushiny_0.2.1.tar.gz(r-4.5-noble)bboushiny_0.2.1.tar.gz(r-4.4-noble)
bboushiny_0.2.1.tgz(r-4.4-emscripten)bboushiny_0.2.1.tgz(r-4.3-emscripten)
bboushiny.pdf |bboushiny.html✨
bboushiny/json (API)
NEWS

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

Peer review:

Bug tracker:https://github.com/poissonconsulting/bboushiny/issues

On CRAN:

2.95 score 1 packages 3 scripts 1 exports 113 dependencies

Last updated 20 days agofrom:1f7e57faef. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 01 2024
R-4.5-winOKNov 01 2024
R-4.5-linuxOKNov 01 2024
R-4.4-winOKNov 01 2024
R-4.4-macOKNov 01 2024
R-4.3-winOKNov 01 2024
R-4.3-macOKNov 01 2024

Exports:run_bbou_app

Dependencies:abindaskpassbase64encbboudatabboutoolsbitbit64bs4Dashbslibcachemcellrangerchkclicliprcodacolorspacecommonmarkcpp11crayoncrosstalkcurldigestdplyrDTevaluateextrasfansifarverfastmapfontawesomeforcatsfreshfsgenericsggplot2gluegtablehighrhmshtmltoolshtmlwidgetshttpuvhttrigraphisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclemagrittrmarkdownMASSMatrixmcmcderivemcmcrmemoisemgcvmimemunsellnewdatanimblenlistnlmenumDerivopensslpillarpkgconfigpracmaprettyunitsprogresspromisespurrrR6rappdirsRColorBrewerRcppreadrreadxlrematchrescalerlangrmarkdownrstudioapisassscalesshinyshinyhelpershinyjssourcetoolsstringistringrsystermtibbletidyrtidyselecttinytextzdbuniversalsutf8vctrsviridisLitevroomwaiterwithrwritexlxfunxtableyaml