Package: FESta 1.0.2
FESta: Fishing Effort Standardization
Marine fisheries governance and management rely heavily on reliable indicators of stock abundance and fishing pressure to ensure the sustainable utilization of marine resources. Catch Per Unit Effort (CPUE) is widely used as an index of relative abundance, but direct comparison of catch rates is often affected by differences in fishing effort, vessel characteristics, gear efficiency, and operational practices. The FESta package provides methods for fishing effort and CPUE standardization, including vessel-based, gear-based, relative effort, derived effort, generalized linear models, generalized additive models, generalized linear mixed models, ordered quantile transformation models, and multi-gear standardization techniques for fisheries stock assessment and monitoring. To cite our package run this command, citation("FESta").
Authors:
FESta_1.0.2.tar.gz
FESta_1.0.2.zip(r-4.7-any)FESta_1.0.2.zip(r-4.6-any)FESta_1.0.2.zip(r-4.5-any)
FESta_1.0.2.tgz(r-4.6-any)FESta_1.0.2.tgz(r-4.5-any)
FESta_1.0.2.tar.gz(r-4.7-any)FESta_1.0.2.tar.gz(r-4.6-any)
FESta_1.0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
FESta/json (API)
| # Install 'FESta' in R: |
| install.packages('FESta', repos = c('https://eldho1983.r-universe.dev', 'https://cloud.r-project.org')) |
- DEstd_dataset - DEstd_dataset
- GAMstd_dataset - GAMstd_dataset
- GLMMstd_dataset - GLMMstd_dataset
- GLMstd_dataset - GLMstd_dataset
- MGMSstd_dataset - MGMSstd_dataset
- ORQGLMstd_dataset - ORQGLMstd_dataset
- REstd_dataset - REstd_dataset
- StdEffort_dataset - StdEffort_dataset
- SVstd_dataset - SVstd_dataset
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated from:2d64f2f748. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 286 | ||
| source / vignettes | OK | 413 | ||
| linux-release | OK | 177 | ||
| macos-release | OK | 161 | ||
| macos-oldrel | OK | 130 | ||
| windows-devel | OK | 126 | ||
| windows-release | OK | 142 | ||
| windows-oldrel | OK | 124 | ||
| wasm-release | OK | 159 |
Exports:DEstdGAMstdGLMMstdGLMstdMGMSstdORQGLMstdREstdStdEffortSVstd
Dependencies:bestNormalizebootbutcherclasscliclockcodetoolscpp11crayondata.tablediagramdigestdoParalleldoRNGdplyrfarverforeachfuturefuture.applygenericsggplot2globalsgluegowergridExtragtablehardhathmsipredisobanditeratorsKernSmoothlabelingLambertWlamWlatticelavalifecyclelistenvlme4lobstrlubridatemagrittrMASSMatrixmgcvminqanlmenloptrnnetnortestnumDerivparallellypatchworkpillarpkgconfigplyrprettyunitsprodlimprogressprogressrpurrrR6rbibutilsRColorBrewerRcppRcppEigenRcppParallelRdpackrecipesreformulasreshape2rlangrngtoolsrpartS7scalesshapesparsevctrsSQUAREMstatmodstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetweedietzdbutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Derived Effort Based Standardization (DEstd) | DEstd |
| DEstd_dataset | DEstd_dataset |
| Generalized Additive Model Based Standardization (GAMstd) | GAMstd |
| GAMstd_dataset | GAMstd_dataset |
| Generalized Linear Mixed Model Based Standardization (GLMMstd) | GLMMstd |
| GLMMstd_dataset | GLMMstd_dataset |
| Generalized Linear Model Based Standardization (GLMstd) | GLMstd |
| GLMstd_dataset | GLMstd_dataset |
| Multi-Gear Mean Standardization (MGMSstd) | MGMSstd |
| MGMSstd_dataset | MGMSstd_dataset |
| Ordered Quantile Transformation GLM Based Standardization (ORQGLMstd) | ORQGLMstd |
| ORQGLMstd_dataset | ORQGLMstd_dataset |
| Relative Effort Based Standardization (REstd) | REstd |
| REstd_dataset | REstd_dataset |
| Standardization of Fishing Effort (StdEffort) | StdEffort |
| StdEffort_dataset | StdEffort_dataset |
| Standard Vessel Based Standardization (SVstd) | SVstd |
| SVstd_dataset | SVstd_dataset |
