Package: detect 0.5-0

detect: Analyzing Wildlife Data with Detection Error

Models for analyzing site occupancy and count data models with detection error, including single-visit based models (Lele et al. 2012 <doi:10.1093/jpe/rtr042>, Moreno et al. 2010 <doi:10.1890/09-1073.1>, Solymos et al. 2012 <doi:10.1002/env.1149>, Denes et al. 2016 <doi:10.1111/1365-2664.12818>), conditional distance sampling and time-removal models (Solymos et al. 2013 <doi:10.1111/2041-210X.12106>, Solymos et al. 2018 <doi:10.1650/CONDOR-18-32.1>). Package development was supported by the Alberta Biodiversity Monitoring Institute and the Boreal Avian Modelling Project.

Authors:Peter Solymos [cre, aut], Monica Moreno [aut], Subhash R. Lele [aut]

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detect.pdf |detect.html
detect/json (API)

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

Peer review:

Bug tracker:https://github.com/psolymos/detect/issues

Datasets:
  • databu - Simulated example for abundance model
  • datocc - Simulated example for occupancy model
  • oven - Ovenbird abundances

On CRAN:

22 exports 5 stars 2.20 score 4 dependencies 6 mentions 106 scripts 417 downloads

Last updated 4 months agofrom:9e5fd779e3. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 24 2024
R-4.5-winOKAug 24 2024
R-4.5-linuxOKAug 24 2024
R-4.4-winOKAug 24 2024
R-4.4-macOKAug 24 2024
R-4.3-winOKAug 24 2024
R-4.3-macOKAug 24 2024

Exports:AUCbootstrapcmulticmulti.fitcmulti.fit0cmulti2.fitconvertEDRdrop.scope.svisitextractBOOTextractMLEhbootindexis.presentload_BAM_QPADpredictMCMCrocplotsvabusvabu.fitsvabu.stepsvoccsvocc.fitsvocc.stepzif

Dependencies:FormulalatticeMatrixpbapply