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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>.

Type Size Name Uploaded Downloads Labels
conda 3.1 MB | linux-64/r-unmarked-1.3.2-r43h884c59f_0.tar.bz2  1 year and 2 months ago 24 main
conda 2.7 MB | linux-64/r-unmarked-1.2.5-r42h884c59f_0.tar.bz2  2 years and 9 months ago 50 main
conda 3.0 MB | win-64/r-unmarked-0.12_3-r36h796a38f_0.tar.bz2  5 years and 27 days ago 96 main
conda 2.9 MB | osx-64/r-unmarked-0.12_3-r36h466af19_0.tar.bz2  5 years and 27 days ago 19 main
conda 2.9 MB | linux-64/r-unmarked-0.12_3-r36h29659fb_0.tar.bz2  5 years and 27 days ago 63 main

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