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extBatchMarking

1.1.0Package record

Extended Batch Marking Models

0packages depend
2.5Kdownloads / year
20.8%test coverage
11/13flavors OK

Overview

About

A system for batch-marking data analysis to estimate survival probabilities, capture probabilities, and enumerate the population abundance for both marked and unmarked individuals. The estimation of only marked individuals can be achieved through the batchMarkOptim() function. Similarly, the combined marked and unmarked can be achieved through the batchMarkUnmarkOptim() function. The algorithm was also implemented for the hidden Markov model encapsulated in batchMarkUnmarkOptim() to estimate the abundance of both marked and unmarked individuals in the population. The package is based on the paper: "Hidden Markov Models for Extended Batch Data" of Cowen et al. (2017) doi:10.1111/biom.12701.

Install

Health

CRAN checks
2NOTE11OK
Check messages
NOTERd contentsr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc
Rd files without \usage:
  ‘gamma_gt.Rd’
\arguments should not be documented without \usage.

CRAN check page ↗

Slowest check: 3.3 min · r-devel-windows-x86_64
Status changes
  • NOTE11 OK, 2 NOTENow
  • NOTE12 OK, 1 NOTE2026-07-11
  • OK14 OK2026-04-22
  • ERROR13 OK, 1 ERROR2026-04-18
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 1.1.0
READMEYes · 2,494 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
19 (1 internal)includes a package overview page
Examples that run
100%4 run in a plain check
Exported functions with examples
100%
Documented parameters
100%
Return-value docs
100%
Help pages citing references
11%

Downloads

2.5K
CRAN downloads in the past year
Rank #16,776 · ~7/day · ~209/mo
Daily download trend is not available in this view yet.
29430 days
75290 days
2.5K1 year
Compare downloads with other packages →
Also on348 r2u8 autocran

Repository

0Stars
0Forks
0Open issues
0Open PRs
0Releases
License file reads as AGPL-3.0 · Last activity 2025-06-07
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
not measured
Median days to close, 50 most recently updated closed PRs
not measured
PracticesBeta

3 development-tooling and community-health practices detected across 3 families in the upstream repository

Checks run against github.com/olobatuyi/extbatchmarking_cov on 2026-10-21.

Docs source (1)
README.Rmd
Lint, format, editor (1)
RStudio project
Git structural (1)
.gitattributes
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)

Installing extBatchMarking adds 6 packages (2 with compiled code, 3.6 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppArmadillo 1.0 MB, optimbase 300 KB.

Depends (1)
R >= 4.0
LinkingTo (2)
Suggests (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (5)
Author, Maintainer since 1.0 (2023)
Author
Releases (3)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 1.1.0Latest
    record
    2024-10-05 · current release · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 1.0.1
    record
    2024-01-10 · diff ↗
  • 1.0
    record
    2023-12-17
  • R
    R 4.3.0 released · 2023-04-21

Package metadata

First published
2023-12-17
Total releases
3 / 3 yrs
License
AGPL (>= 3) OSI
Minimum R
≥ 4.0
Bundled data
0.2 KB / 1 file
Download size
40 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("extBatchMarking")
Olobatuyi, K., Cowen, L. L., Hof, S., Johns, S., & Parker, M. R. (2024). extBatchMarking: Extended Batch Marking Models (Version 1.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.extBatchMarking

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 extBatchMarking version 1.1.0 [Data set]. HJJB, LLC. Data release v2026-10-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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