Skip to content

FESta

1.0.2Package record

Fishing Effort Standardization

0packages depend
2.7Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

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").

Install

Health

CRAN checks
13OK
Slowest check: 3.0 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.0.2
READMENoVignettesNoNEWSNoCitation fileYes · software entry onlyWebsitenot declared in DESCRIPTION
Help pages
18
Examples that run
0%18 never run
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
50%

Downloads

2.7K
CRAN downloads in the past year
Rank #9,227 · ~8/day · ~228/mo
Daily download trend is not available in this view yet.
45530 days
1K90 days
2.7K1 year
Compare downloads with other packages →
Also on89 r2u10 autocran

Dependencies

Declared dependencies
11 external dependencies (excludes base and recommended)

Installing FESta adds 83 packages (40 with compiled code, 63 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (1)
R >= 4.1.0
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (7)
Author, Maintainer since 1.0.0 (2020)
Author, Contributor · added in 1.0.1
Author, Contributor · added in 1.0.1
Contributor · added in 1.0.1
Contributor
Releases (3)

Pick two releases to compare their code metrics.

  • 1.0.2Latest
    record
    2026-08-03 · current release · diff ↗
  • 1.0.1
    record
    2026-08-03 · diff ↗ ·
    removed 1 export
    pattern:^[[:alpha:]]+
    added 9 exports
    DEstd, GAMstd, GLMMstd, GLMstd, MGMSstd, ORQGLMstd, REstd, SVstd, StdEffort
  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • R
    R 4.1.0 released · 2021-05-18
  • 1.0.0
    record
    2020-05-11
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2020-05-11
Total releases
3 / 6 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 4.1.0
Bundled data
56 KB / 9 files
Download size
111 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("FESta")

The package provides a citation file, so citation() returns the authors' own entry.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for FESta version 1.0.2 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy