kacurtis. See also theR-universe documentation.Package: ObsCovgTools 3.4.0
Alex Curtis
ObsCovgTools: Evaluate Fishery Observer Coverage for Bycatch Estimation
Tools for evaluating observer coverage with respect to documenting and estimating rare bycatch, including (1) probabilities of observing a bycatch event and of one occurring in total effort, (2) upper confidence limit for bycatch given none was observed, and (3) bycatch estimation CV (coefficient of variation).
Authors:
ObsCovgTools_3.4.0.tar.gz
ObsCovgTools_3.4.0.zip(r-4.5)ObsCovgTools_3.4.0.zip(r-4.4)ObsCovgTools_3.4.0.zip(r-4.3)
ObsCovgTools_3.4.0.tgz(r-4.4-any)ObsCovgTools_3.4.0.tgz(r-4.3-any)
ObsCovgTools_3.4.0.tar.gz(r-4.5-noble)ObsCovgTools_3.4.0.tar.gz(r-4.4-noble)
ObsCovgTools_3.4.0.tgz(r-4.4-emscripten)ObsCovgTools_3.4.0.tgz(r-4.3-emscripten)
ObsCovgTools.pdf |ObsCovgTools.html✨
ObsCovgTools/json (API)
NEWS
| # Install 'ObsCovgTools' in R: |
| install.packages('ObsCovgTools', repos = c('https://noaa-fisheries-integrated-toolbox.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/kacurtis/obscovgtools/issues
Pkgdown site:https://kacurtis.github.io
Last updated 6 months agofrom:ff47af18f2. Checks:1 OK, 6 WARNING. Indexed: no.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Jan 15 2025 |
| R-4.5-win | WARNING | Jan 15 2025 |
| R-4.5-linux | WARNING | Jan 15 2025 |
| R-4.4-win | WARNING | Jan 15 2025 |
| R-4.4-mac | WARNING | Jan 15 2025 |
| R-4.3-win | WARNING | Jan 15 2025 |
| R-4.3-mac | WARNING | Jan 15 2025 |
Exports:plot_cvplot_probposobsplot_uclnegobsprobnzerosrun_shiny
Dependencies:
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Plot bycatch estimation CV vs. observer coverage | plot_cv |
| Plot probability of positive bycatch vs observer coverage | plot_probposobs |
| Plot upper confidence limit of total bycatch given none observed | plot_uclnegobs |
| Get probability of zero bycatch given effort | probnzeros |
| Run Shiny interface with ObsCovgTools | run_shiny |
