Capture-Mark-Recapture Analysis using Multiple Non-Invasive Marks
Overview
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
- no longer imports 'sum' from Brobdingnag package as it is no longer exported
From NEWS in the release
Install
Health
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.
- ERROR11 OK, 2 ERRORNow
- ERROR13 OK, 1 ERROR2026-03-30
- OK14 OK2026-03-10
Documentation
- 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
Dependencies
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.
Code & Tests
Datasets
People & History
Pick two releases to compare their code metrics.
- RR 4.6.0 released · 2026-04-24
- 2.1.7Latest
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 2.1.62023-03-10 · diff ↗
- 2.1.52022-10-18 · diff ↗
- RR 4.2.0 released · 2022-04-22
- 2.1.42022-03-08 · diff ↗
- unarchivedReturned to CRAN2021-09-15
- 2.1.32021-09-15 · diff ↗
- archivedRemoved from CRAN2021-09-13installation warnings were not corrected in time
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- unarchivedReturned to CRAN2020-02-06
- 2.1.22020-02-06 · diff ↗
Show 17 earlier eventsHide 17 earlier events
- archivedRemoved from CRAN2020-01-16check issues were not corrected in time 'Additional issues'
- 2.1.12019-11-25 · diff ↗
- RR 3.6.0 released · 2019-04-26
- 2.1.02019-04-22 · diff ↗
- RR 3.5.0 released · 2018-04-23
- 2.0.12017-06-30 · diff ↗
- RR 3.4.0 released · 2017-04-21
- 2.0.02016-09-02 · diff ↗ ·
added 8 exports
markClosedSCR, multimarkClosedSCR, processdataSCR, simdataClosedSCR, getprobsClosedSCR, getdensityClosedSCR, multimodelClosedSCR, plotSpatialData - RR 3.3.0 released · 2016-05-03
- 1.3.22016-02-13 · diff ↗
- 1.3.12015-10-21 · diff ↗
- 1.3.0
- 1.2.02015-06-24 · diff ↗
- 1.1.42015-05-05 · diff ↗
- 1.1.32015-04-16
- RR 3.2.0 released · 2015-04-16
- RR 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.
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.