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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 3.7 MB | win-64/r-unmarked-1.1.0-r41h01f9f87_0.tar.bz2  4 years and 7 days ago 816 main
conda 3.8 MB | osx-64/r-unmarked-1.1.0-r41he059e9c_0.tar.bz2  4 years and 7 days ago 141 main
conda 3.9 MB | linux-64/r-unmarked-1.1.0-r41h6dc32e9_0.tar.bz2  4 years and 7 days ago 2656 main
conda 3.7 MB | win-64/r-unmarked-1.1.0-r36h01f9f87_0.tar.bz2  4 years and 26 days ago 839 main
conda 3.8 MB | win-64/r-unmarked-1.1.0-r40h01f9f87_0.tar.bz2  4 years and 26 days ago 839 main
conda 3.9 MB | osx-64/r-unmarked-1.1.0-r40he059e9c_0.tar.bz2  4 years and 26 days ago 159 main
conda 3.8 MB | osx-64/r-unmarked-1.1.0-r36he059e9c_0.tar.bz2  4 years and 26 days ago 156 main
conda 3.8 MB | linux-64/r-unmarked-1.1.0-r36h6dc32e9_0.tar.bz2  4 years and 26 days ago 2665 main
conda 3.9 MB | linux-64/r-unmarked-1.1.0-r40h6dc32e9_0.tar.bz2  4 years and 26 days ago 2669 main

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