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

4.08 score 3 stars 3 scripts 18 downloads 1 exports 88 dependencies

Last updated 20 days agofrom:74db237eae. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 04 2024
R-4.5-winOKNov 04 2024
R-4.5-linuxOKNov 04 2024
R-4.4-winOKNov 04 2024
R-4.4-macOKNov 04 2024
R-4.3-winOKNov 04 2024
R-4.3-macOKNov 04 2024

Exports:run_ypr_app

Dependencies:base64encbitbit64bslibbspluscachemchkclicliprcolorspacecommonmarkcpp11crayoncrosstalkdigestdplyrDTevaluatefansifarverfastmapfontawesomefsgenericsggplot2gluegtablehighrhmshtmltoolshtmlwidgetshttpuvisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclelubridatemagrittrMASSMatrixmemoisemgcvmimemunsellnlmepillarpkgconfigprettyunitsprogresspromisespurrrR6rappdirsRColorBrewerRcppreadrrlangrmarkdownsassscalesshinyshinyjssourcetoolsstringistringrtibbletidyplustidyrtidyselecttimechangetinytextzdbutf8vctrsviridisLitevroomwaiterwithrxfunxtableyamlyesnoypr

Using shinyypr

Rendered fromshinyypr.Rmdusingknitr::rmarkdownon Nov 04 2024.

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