Package: multimark 2.1.7

Brett T. McClintock

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

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>.

Authors:Brett T. McClintock [aut, cre], Acho Arnold [ctb, cph], Barry Brown [ctb], James Lovato [ctb], John Burkardt [ctb], Cleve Moler [ctb], Arjun Gopalaswamy [ctb]

multimark_2.1.7.tar.gz
multimark_2.1.7.zip(r-4.7-x86_64)multimark_2.1.7.zip(r-4.7-arm64)multimark_2.1.7.zip(r-4.6-x86_64)multimark_2.1.7.zip(r-4.6-arm64)multimark_2.1.7.zip(r-4.5-x86_64)
multimark_2.1.7.tgz(r-4.6-x86_64)multimark_2.1.7.tgz(r-4.6-arm64)multimark_2.1.7.tgz(r-4.5-x86_64)multimark_2.1.7.tgz(r-4.5-arm64)
multimark_2.1.7.tar.gz(r-4.7-arm64)multimark_2.1.7.tar.gz(r-4.7-x86_64)multimark_2.1.7.tar.gz(r-4.6-arm64)multimark_2.1.7.tar.gz(r-4.6-x86_64)
multimark_2.1.7.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
multimark/json (API)

# Install 'multimark' in R:
install.packages('multimark', repos = c('https://bmcclintock.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/bmcclintock/multimark/issues

Datasets:

On CRAN:

Conda:

3.69 score 1 stars 33 scripts 402 downloads 3 mentions 19 exports 54 dependencies

Last updated from:04df524a16. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK272
linux-devel-x86_64OK267
source / vignettesOK197
linux-release-arm64OK279
linux-release-x86_64OK291
macos-release-arm64OK209
macos-release-x86_64OK335
macos-oldrel-arm64OK186
macos-oldrel-x86_64OK340
windows-devel-arm64OK332
windows-devel-x86_64OK281
windows-release-arm64OK317
windows-release-x86_64OK244
windows-oldrel-x86_64OK234
wasm-releaseOK154

Exports:getdensityClosedSCRgetprobsCJSgetprobsClosedgetprobsClosedSCRmarkCJSmarkClosedmarkClosedSCRmultimarkCJSmultimarkClosedmultimarkClosedSCRmultimodelCJSmultimodelClosedmultimodelClosedSCRplotSpatialDataprocessdataprocessdataSCRsimdataCJSsimdataClosedsimdataClosedSCR

Dependencies:Brobdingnagclicodacodetoolscpp11data.tablediagramdigestexpmfarverfuturefuture.applygenericsggplot2globalsgluegtableisobandKernSmoothlabelinglatticelavalifecyclelistenvmagrittrMatrixmatrixcalcmsmmvtnormnumDerivparallellypillarpkgconfigprodlimprogressrR6rasterRColorBrewerRcpprlangRMarkS7scalesshapespSQUAREMstatmodsurvivalterratibbleutf8vctrsviridisLitewithr

Readme and manuals

Help Manual

Help pageTopics
Bobcat databobcat
Bobcat spatial capture-recapture databobcatSCR
Calculate population density estimatesgetdensityClosedSCR
Calculate posterior capture and survival probabilitiesgetprobsCJS
Calculate posterior capture and recapture probabilitiesgetprobsClosed
Calculate posterior capture and recapture probabilitiesgetprobsClosedSCR
Fit open population survival models for ``traditional'' capture-mark-recapture data consisting of a single mark typemarkCJS
Fit closed population abundance models for ``traditional'' capture-mark-recapture data consisting of a single mark typemarkClosed
Fit spatial population abundance models for ``traditional'' capture-mark-recapture data consisting of a single mark typemarkClosedSCR
Fit open population survival models for capture-mark-recapture data consisting of multiple non-invasive marksmultimarkCJS
Fit closed population abundance models for capture-mark-recapture data consisting of multiple non-invasive marksmultimarkClosed
Fit spatially-explicit population abundance models for capture-mark-recapture data consisting of multiple non-invasive marksmultimarkClosedSCR
Class '"multimarkSCRsetup"'multimarkSCRsetup-class
Class '"multimarksetup"'multimarksetup-class
Multimodel inference for 'multimark' open population survival modelsmultimodelCJS
Multimodel inference for 'multimark' closed population abundance modelsmultimodelClosed
Multimodel inference for 'multimark' spatial population abundance modelsmultimodelClosedSCR
Plot spatial capture-mark-recapture dataplotSpatialData
Generate model inputs for fitting 'multimark' modelsprocessdata
Generate model inputs for fitting spatial 'multimark' modelsprocessdataSCR
Simulate open population capture-mark-recapture data arising from multiple non-invasive markssimdataCJS
Simulate closed population capture-mark-recapture data arising from multiple non-invasive markssimdataClosed
Simulate spatially-explicit capture-mark-recapture data from a (demographically) closed population with multiple non-invasive markssimdataClosedSCR
Tiger datatiger