Package: shinyypr 0.0.4

Ayla Pearson

shinyypr: Run ypr Shiny App

A user interface to the 'ypr' R package. 'Ypr' implements equilibrium-based yield per recruit methods for estimating the optimal yield for a fish population.

Authors:Sebastian Dalgarno [aut], Joe Thorley [ctb], Ayla Pearson [cre, ctb], Poisson Consulting [cph, fnd]

shinyypr_0.0.4.tar.gz
shinyypr_0.0.4.zip(r-4.5)shinyypr_0.0.4.zip(r-4.4)shinyypr_0.0.4.zip(r-4.3)
shinyypr_0.0.4.tgz(r-4.4-any)shinyypr_0.0.4.tgz(r-4.3-any)
shinyypr_0.0.4.tar.gz(r-4.5-noble)shinyypr_0.0.4.tar.gz(r-4.4-noble)
shinyypr_0.0.4.tgz(r-4.4-emscripten)shinyypr_0.0.4.tgz(r-4.3-emscripten)
shinyypr.pdf |shinyypr.html
shinyypr/json (API)
NEWS

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

Peer review:

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

On CRAN:

shiny

1 exports 3 stars 3.65 score 88 dependencies 3 scripts 20 downloads

Last updated 14 days agofrom:747ef8d3a9. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKSep 21 2024
R-4.5-winOKSep 21 2024
R-4.5-linuxOKSep 21 2024
R-4.4-winOKSep 21 2024
R-4.4-macOKSep 21 2024
R-4.3-winOKSep 21 2024
R-4.3-macOKSep 21 2024

Exports:run_ypr_app

Dependencies:base64encbitbit64bslibbspluscachemchkclicliprcolorspacecommonmarkcpp11crayoncrosstalkdigestdplyrDTevaluatefansifarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhmshtmltoolshtmlwidgetshttpuvisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclelubridatemagrittrMASSMatrixmemoisemgcvmimemunsellnlmepillarpkgconfigprettyunitsprogresspromisespurrrR6rappdirsRColorBrewerRcppreadrrlangrmarkdownsassscalesshinyshinyjssourcetoolsstringistringrtibbletidyplustidyrtidyselecttimechangetinytextzdbutf8vctrsviridisLitevroomwaiterwithrxfunxtableyamlyesnoypr

Using shinyypr

Rendered fromshinyypr.Rmdusingknitr::rmarkdownon Sep 21 2024.

Last update: 2020-01-22
Started: 2019-12-20