R Observatory: Metrics for FESta version 1.0.1

Balamuta, James Joseph

FESta

1.0.1

Fishing Effort Standardization

0packages depend

2.3Kdownloads / year

–test coverage

13/13checks pass

Overview

About

Maintained by Eldho VargheseFirst published 2020-05-112 releasesCRAN page ↗

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

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("FESta", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-festa

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-FESta

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-FESta

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed).

Health

CRAN checks

13OK

Slowest check: 3.9 min · r-devel-linux-x86_64-fedora-clang

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

14

Dependencies · direct

Check history

OK2026-08-05
13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
NOTE2026-08-01
12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
OK2026-03-10
14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 0%
Documented parameters: 100%
Return-value docs: 100%
References docs: 50%

Downloads

2.3K

CRAN downloads in the past year

Rank #22,424 · ~6/day · ~188/mo

Releases R versions

Daily download trend is not available in this view yet.

10430 days

47090 days

2.3K1 year

Compare downloads with other packages →

Also on93 r2u1 autocran

Dependencies

Declared dependencies

11 external dependencies (excludes base and recommended)

Depends (1)

R >= 4.1.0

Imports (14)

bestNormalize dplyr ggplot2 gridExtra lme4MASSmgcvpatchwork rlang scales statmodstatstidyr tweedie

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (7)

Maintainer (1)

Eldho Varghese

Author, Maintainer

Authors (5)

Eldho Varghese

Author, Maintainer

Ashutosh Dalal

Author, Contributor · added in 1.0.1

Jayasankar J

Author

Sathianandan T V

Author

Sreepriya V

Author, Contributor · added in 1.0.1

Contributors (4)

Ashutosh Dalal

Author, Contributor · added in 1.0.1

Sreepriya V

Author, Contributor · added in 1.0.1

Grinson George

Contributor · added in 1.0.1

Reshma Gills

Contributor

Package Timeline

2 releases. Pick two to compare their code metrics. R releases are shown for context.

1.0.1Latest
2026-08-03 · current release · diff ↗
R
R 4.6.0 released · 2026-04-24
1.0.0
2026-03-10
R
R 4.5.0 released · 2025-04-11

Package metadata

First published: 2020-05-11
Total releases: 2 / 6 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 4.1.0
Bundled data: 56 KB / 9 files
Download size: 6.7 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Start here. This is the citation for the package itself.

citation("FESta")

CRAN DOI

https://doi.org/10.32614/CRAN.package.FESta

BibTeX, derived from DESCRIPTION

@Manual{FESta,
  title  = {FESta: Fishing Effort Standardization},
  author = {Varghese, Eldho and Dalal, Ashutosh and George, Grinson and Gills, Reshma and J, Jayasankar and T V, Sathianandan and V, Sreepriya},
  year   = {2026},
  note   = {R package version 1.0.1},
  doi    = {10.32614/CRAN.package.FESta},
  url    = {https://CRAN.R-project.org/package=FESta}
}

Derived from the package DESCRIPTION, not from a citation file the authors wrote. If they publish one later, prefer it.

This is the citation for the package. It is not a citation for the R Observatory.

Cite this page

Use this when the claim is about a measurement on this page.

BibTeX

@misc{robservatoryFESta,
  author    = {Balamuta, James Joseph},
  title     = {{R} {Observatory}: Metrics for {FESta} version 1.0.1},
  year      = {2026},
  publisher = {HJJB, LLC},
  url       = {https://r-observatory.thecoatlessprofessor.com/packages/FESta},
  note      = {Data set. Data release v2026-08-05}
}

APA

Balamuta, J. J. (2026). R Observatory: Metrics for FESta version 1.0.1 [Data set]. HJJB, LLC. Data release v2026-08-05. https://r-observatory.thecoatlessprofessor.com/packages/FESta

RIS

TY  - DATA
AU  - Balamuta, James Joseph
TI  - R Observatory: Metrics for FESta version 1.0.1
PY  - 2026
PB  - HJJB, LLC
N1  - Data release v2026-08-05
UR  - https://r-observatory.thecoatlessprofessor.com/packages/FESta
ER  -

In prose

These package metrics were obtained from the R Observatory (Balamuta, 2026), data release v2026-08-05, https://r-observatory.thecoatlessprofessor.com/packages/FESta.

Bound to data release v2026-08-05, which is what makes the numbers on this page reproducible. See how to cite.

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