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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 3.9 MB | win-64/r-unmarked-1.1.1-r40h01f9f87_0.tar.bz2  3 years and 11 months ago 822 main
conda 3.7 MB | win-64/r-unmarked-1.1.1-r41h01f9f87_0.tar.bz2  3 years and 11 months ago 806 main
conda 3.8 MB | osx-64/r-unmarked-1.1.1-r41he059e9c_0.tar.bz2  3 years and 11 months ago 154 main
conda 3.9 MB | osx-64/r-unmarked-1.1.1-r40he059e9c_0.tar.bz2  3 years and 11 months ago 141 main
conda 3.9 MB | linux-64/r-unmarked-1.1.1-r40h6dc32e9_0.tar.bz2  3 years and 11 months ago 2562 main
conda 3.9 MB | linux-64/r-unmarked-1.1.1-r41h6dc32e9_0.tar.bz2  3 years and 11 months ago 2588 main

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