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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 2.7 MB | win-64/r-unmarked-1.3.2-r41h56ffbbb_0.conda  1 year and 10 months ago 694 main
conda 2.8 MB | osx-64/r-unmarked-1.3.2-r42hb3f7bb8_0.conda  1 year and 10 months ago 448 main
conda 2.8 MB | osx-64/r-unmarked-1.3.2-r43hb3f7bb8_0.conda  1 year and 10 months ago 431 main
conda 2.8 MB | linux-64/r-unmarked-1.3.2-r43h7ce84a7_0.conda  1 year and 10 months ago 1754 main
conda 2.8 MB | linux-64/r-unmarked-1.3.2-r42h7ce84a7_0.conda  1 year and 10 months ago 1780 main

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