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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.

copied from cf-staging / r-unmarked
Type Size Name Uploaded Downloads Labels
conda 4.4 MB | win-64/r-unmarked-1.2.3-r40h01f9f87_0.tar.bz2  3 years and 12 hours ago 725 main
conda 4.3 MB | win-64/r-unmarked-1.2.3-r41h01f9f87_0.tar.bz2  3 years and 12 hours ago 701 main
conda 4.5 MB | osx-64/r-unmarked-1.2.3-r41hca8169d_0.tar.bz2  3 years and 12 hours ago 72 main
conda 4.6 MB | osx-64/r-unmarked-1.2.3-r40hca8169d_0.tar.bz2  3 years and 12 hours ago 79 main
conda 4.5 MB | linux-64/r-unmarked-1.2.3-r41hcec875b_0.tar.bz2  3 years and 13 hours ago 2205 main
conda 4.4 MB | linux-64/r-unmarked-1.2.3-r40hcec875b_0.tar.bz2  3 years and 13 hours ago 2189 main

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