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The sampling methods include point counts, occurrence sampling, distance sampling, removal, double observer, and many others. `unmarked` uses hierarchical models to incorporate covariates of the latent abundance (or occupancy) and imperfect detection processes.\n\n## Installation\n\nThe latest stable version of unmarked can be downloaded from [CRAN](https://cran.r-project.org/package=unmarked):\n\n```r\ninstall.packages(\"unmarked\")\n```\n\nThe latest development version can be installed from Github:\n\n```r\ninstall.packages(\"remotes\")\nremotes::install_github(\"ecoverseR/unmarked\")\n```\n\n## Support\n\nSupport is provided through the [unmarked Google group](http://groups.google.com/group/unmarked).\nThe package [website](https://ecoverseR.github.io/unmarked) has more information.\nYou can report bugs [here](https://github.com/ecoverseR/unmarked/issues), by posting to the Google group, or by emailing [the current maintainer](https://kenkellner.com).\n\n## Get Started\n\nSee the following vignettes for an introduction to `unmarked` and some example analyses:\n\n[Overview of `unmarked`](https://cran.r-project.org/web/packages/unmarked/vignettes/unmarked.html)\n\n[Dynamic occupancy models](https://cran.r-project.org/web/packages/unmarked/vignettes/colext.html)\n\n[Multispecies occupancy models](https://cran.r-project.org/web/packages/unmarked/vignettes/occuMulti.html)\n\n[Distance sampling](https://cran.r-project.org/web/packages/unmarked/vignettes/distsamp.html)\n\n[Contributing to `unmarked`](https://cran.r-project.org/web/packages/unmarked/vignettes/contributing_to_unmarked.html)\n","funding_links":[],"readme_doi_urls":[],"works":{},"citation_counts":{},"total_citations":0,"keywords_from_contributors":[],"project_url":"https://ost.ecosyste.ms/api/v1/projects/353146","html_url":"https://ost.ecosyste.ms/projects/353146"}