unmarked
Models for Data from Unmarked Animals
Fits hierarchical models of animal abundance and occurrence to data collected using survey methods such as point counts, site occupancy sampling, distance sampling, removal sampling, and double observer sampling. Parameters governing the state and observation processes can be modeled as functions of covariates. References: Kellner et al. (2023) doi:10.1111/2041-210X.14123, Fiske and Chandler (2011) doi:10.18637/jss.v043.i10.
- Version1.4.3
- R version≥ 4.0
- LicenseGPL (≥ 3)
- Needs compilation?Yes
- unmarked citation info
- Last release09/01/2024
Documentation
- VignetteCapture-recapture
- VignetteDynamic occupancy models
- VignetteContributing to unmarked
- VignetteDistance sampling analysis
- VignetteMultispecies occupancy models with occuMulti
- VignettePower Analysis in unmarked
- VignetteSimulating datasets
- VignetteSpecies distributions
- VignetteOverview of unmarked
- MaterialNEWS
- In ViewsEnvironmetrics
Team
- Ken Kellner
- Andy RoyleShow author detailsRolesAuthor
- Mike MeredithShow author detailsRolesContributor
- Richard ChandlerShow author detailsRolesAuthor
- David MillerShow author detailsRolesAuthor
- Auriel Fournier
- Marc KeryShow author detailsRolesContributor
- Ian FiskeShow author detailsRolesAuthor
- Jeff HostetlerShow author detailsRolesAuthor
- Rebecca HutchinsonShow author detailsRolesAuthor
- Adam SmithShow author detailsRolesAuthor
- Lea PautrelShow author detailsRolesAuthor
- Ariel MuldoonShow author detailsRolesContributor
- Chris BakerShow author detailsRolesContributor
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- Imports6 packages
- Suggests7 packages
- Linking To4 packages
- Reverse Depends1 package
- Reverse Imports4 packages
- Reverse Suggests3 packages
- Reverse Enhances1 package