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:K. Alexandra Curtis

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-4.5-any)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

On CRAN:

Conda:

2.48 score 3 stars 5 exports 0 dependencies

Last updated 1 months agofrom:adfe2443ae. Checks:1 OK, 8 WARNING. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKMar 20 2025
R-4.5-winWARNINGMar 20 2025
R-4.5-macWARNINGMar 20 2025
R-4.5-linuxWARNINGMar 20 2025
R-4.4-winWARNINGMar 20 2025
R-4.4-macWARNINGMar 20 2025
R-4.4-linuxWARNINGMar 20 2025
R-4.3-winWARNINGMar 20 2025
R-4.3-macWARNINGMar 20 2025

Exports:plot_cvplot_probposobsplot_uclnegobsprobnzerosrun_shiny

Dependencies: