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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>.
Getting started
Package overview
Contributing to unmarked: guide to adding a new model to `unmarked`
Distance sampling analysis in unmarked
Dynamic occupancy models in unmarked
Modeling and mapping species distributions
Modeling variation in abundance using capture-recapture data
Multispecies occupancy models with occuMulti
Overview of unmarked: an R Package for the Analysis of Data from Unmarked Animals
Power Analysis in unmarked
Simulating datasets
Browse package contents
Package details |
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| Author | Richard Chandler [aut], Ken Kellner [cre, aut], Ian Fiske [aut], David Miller [aut], Andy Royle [aut], Jeff Hostetler [aut], Rebecca Hutchinson [aut], Adam Smith [aut], Lea Pautrel [aut], Marc Kery [ctb], Mike Meredith [ctb], Auriel Fournier [ctb], Ariel Muldoon [ctb], Chris Baker [ctb] |
| Maintainer | Ken Kellner <contact@kenkellner.com> |
| License | GPL (>= 3) |
| Version | 1.4.3 |
| URL | https://groups.google.com/d/forum/unmarked https://hmecology.github.io/unmarked/ |
| Package repository | View on CRAN |
| Installation |
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