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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  4 years and 5 days ago 823 main
conda 3.7 MB | win-64/r-unmarked-1.1.1-r41h01f9f87_0.tar.bz2  4 years and 5 days ago 808 main
conda 3.8 MB | osx-64/r-unmarked-1.1.1-r41he059e9c_0.tar.bz2  4 years and 5 days ago 155 main
conda 3.9 MB | osx-64/r-unmarked-1.1.1-r40he059e9c_0.tar.bz2  4 years and 5 days ago 142 main
conda 3.9 MB | linux-64/r-unmarked-1.1.1-r40h6dc32e9_0.tar.bz2  4 years and 5 days ago 2636 main
conda 3.9 MB | linux-64/r-unmarked-1.1.1-r41h6dc32e9_0.tar.bz2  4 years and 5 days ago 2657 main

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