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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-post-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 4 months ago 826 main
conda 3.8 MB | osx-64/r-unmarked-1.1.0-r41he059e9c_0.tar.bz2  4 years and 4 months ago 149 main
conda 3.9 MB | linux-64/r-unmarked-1.1.0-r41h6dc32e9_0.tar.bz2  4 years and 4 months ago 2928 main
conda 3.7 MB | win-64/r-unmarked-1.1.0-r36h01f9f87_0.tar.bz2  4 years and 5 months ago 849 main
conda 3.8 MB | win-64/r-unmarked-1.1.0-r40h01f9f87_0.tar.bz2  4 years and 5 months ago 849 main
conda 3.9 MB | osx-64/r-unmarked-1.1.0-r40he059e9c_0.tar.bz2  4 years and 5 months ago 166 main
conda 3.8 MB | osx-64/r-unmarked-1.1.0-r36he059e9c_0.tar.bz2  4 years and 5 months ago 164 main
conda 3.8 MB | linux-64/r-unmarked-1.1.0-r36h6dc32e9_0.tar.bz2  4 years and 5 months ago 2919 main
conda 3.9 MB | linux-64/r-unmarked-1.1.0-r40h6dc32e9_0.tar.bz2  4 years and 5 months ago 2934 main

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