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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-1.3.1-r41h56ffbbb_0.conda  1 year and 11 months ago 708 main
conda 2.8 MB | osx-64/r-unmarked-1.3.1-r43hb3f7bb8_0.conda  1 year and 11 months ago 421 main
conda 2.8 MB | osx-64/r-unmarked-1.3.1-r42hb3f7bb8_0.conda  1 year and 11 months ago 472 main
conda 2.8 MB | linux-64/r-unmarked-1.3.1-r42h7ce84a7_0.conda  1 year and 11 months ago 1813 main
conda 2.8 MB | linux-64/r-unmarked-1.3.1-r43h7ce84a7_0.conda  1 year and 11 months ago 1806 main

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