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multimark

2.1.7Package record

Capture-Mark-Recapture Analysis using Multiple Non-Invasive Marks

0packages depend
4.4Kdownloads / year
76.5%test coverage
11/13flavors OK

Overview

About

Traditional and spatial capture-mark-recapture analysis with multiple non-invasive marks. The models implemented in 'multimark' combine encounter history data arising from two different non-invasive "marks", such as images of left-sided and right-sided pelage patterns of bilaterally asymmetrical species, to estimate abundance and related demographic parameters while accounting for imperfect detection. Bayesian models are specified using simple formulae and fitted using Markov chain Monte Carlo. Addressing deficiencies in currently available software, 'multimark' also provides a user-friendly interface for performing Bayesian multimodel inference using non-spatial or spatial capture-recapture data consisting of a single conventional mark or multiple non-invasive marks. See McClintock (2015) doi:10.1002/ece3.1676 and Maronde et al. (2020) doi:10.1002/ece3.6990.

Changes in 2.1.7

CHANGES

  • no longer imports 'sum' from Brobdingnag package as it is no longer exported

From NEWS in the release

Install

Health

CRAN checks
2ERROR11OK
Check messages
ERRORpackage dependenciesr-release-macos-arm64, r-release-macos-x86_64
Package required but not available: ‘RMark’

See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.

CRAN check page ↗

Slowest check: 9.1 min · r-oldrel-macos-x86_64
Status changes
  • ERROR11 OK, 2 ERRORNow
  • ERROR13 OK, 1 ERROR2026-03-30
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 2.1.7
READMEYes · 116 wordsVignettesNoNEWSYes · 33% structured · mentions 2.1.7Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
24
Examples that run
38%9 run in a plain check · 15 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
100%
Documented parameters
99%
Return-value docs
95%
Help pages citing references
50%

Downloads

4.4K
CRAN downloads in the past year
Rank #8,066 · ~12/day · ~364/mo
Daily download trend is not available in this view yet.
46830 days
1.1K90 days
4.4K1 year
Compare downloads with other packages →
Also on344 r2u5 autocran

Dependencies

Declared dependencies
9 external dependencies (excludes base and recommended)

Installing multimark adds 49 packages (22 with compiled code, 37 MB of source tarballs). Heaviest: ggplot2 6.0 MB, data.table 5.7 MB, sp 4.3 MB.

Depends (1)
R >= 3.2.1
Imports (14)
parallelMatrixcodastatmodRMarkBrobdingnagmvtnormgraphicsmethodsstatsutilsprodlimspraster
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (7)
Author, Maintainer since 1.1.3 (2015)
Contributor, Copyright holder
C original matrix library, https://github.com/najela/matrix.h
Contributor
Fortran original ranlib library
Contributor
C original ranlib library, http://people.sc.fsu.edu/~jburkardt/c_src/ranlib
Contributor · added in 2.0.0
modified snippets of R package SPACECAP code
Contributor
Fortran original ranlib library
Contributor
C original linpack library, http://www.kkant.net/geist/ranlib/
Releases (16)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • 2.1.7Latest
    record
    2025-11-25 · current release · diff ↗
  • 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
  • 2.1.6
    record
    2023-03-10 · diff ↗
  • 2.1.5
    record
    2022-10-18 · diff ↗
  • R
    R 4.2.0 released · 2022-04-22
  • 2.1.4
    record
    2022-03-08 · diff ↗
  • unarchivedReturned to CRAN
    2021-09-15
  • 2.1.3
    record
    2021-09-15 · diff ↗
  • archivedRemoved from CRAN
    2021-09-13
    installation warnings were not corrected in time
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • unarchivedReturned to CRAN
    2020-02-06
  • 2.1.2
    record
    2020-02-06 · diff ↗
Show 17 earlier eventsHide 17 earlier events
  • archivedRemoved from CRAN
    2020-01-16
    check issues were not corrected in time 'Additional issues'
  • 2.1.1
    record
    2019-11-25 · diff ↗
  • R
    R 3.6.0 released · 2019-04-26
  • 2.1.0
    record
    2019-04-22 · diff ↗
  • R
    R 3.5.0 released · 2018-04-23
  • 2.0.1
    record
    2017-06-30 · diff ↗
  • R
    R 3.4.0 released · 2017-04-21
  • 2.0.0
    record
    2016-09-02 · diff ↗ ·
    added 8 exports
    markClosedSCR, multimarkClosedSCR, processdataSCR, simdataClosedSCR, getprobsClosedSCR, getdensityClosedSCR, multimodelClosedSCR, plotSpatialData
  • R
    R 3.3.0 released · 2016-05-03
  • 1.3.2
    record
    2016-02-13 · diff ↗
  • 1.3.1
    record
    2015-10-21 · diff ↗
  • 1.3.0
    record
    2015-07-28 · diff ↗ ·
    added 2 exports
    markClosed, markCJS
  • 1.2.0
    record
    2015-06-24 · diff ↗
  • 1.1.4
    record
    2015-05-05 · diff ↗
  • 1.1.3
    record
    2015-04-16
  • R
    R 3.2.0 released · 2015-04-16
  • R
    R 3.1.0 released · 2014-04-10

Package metadata

First published
2015-04-16
Total releases
16 / 11 yrs
License
GPL-2 OSI
Minimum R
≥ 3.2.1
Bundled data
46 KB / 3 files
Download size
136 KB

Cite

Cite this package

Run in R for the authors' entry:

citation("multimark")

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

It points to 10.1002/ece3.1676.

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 multimark version 2.1.7 [Data set]. HJJB, LLC. Data release v2026-10-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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