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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 7 months ago 690 main
conda 2.8 MB | osx-64/r-unmarked-1.3.2-r42hb3f7bb8_0.conda  1 year and 7 months ago 445 main
conda 2.8 MB | osx-64/r-unmarked-1.3.2-r43hb3f7bb8_0.conda  1 year and 7 months ago 427 main
conda 2.8 MB | linux-64/r-unmarked-1.3.2-r43h7ce84a7_0.conda  1 year and 7 months ago 1533 main
conda 2.8 MB | linux-64/r-unmarked-1.3.2-r42h7ce84a7_0.conda  1 year and 7 months ago 1557 main

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