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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 11 months ago 696 main
conda 2.8 MB | osx-64/r-unmarked-1.3.2-r42hb3f7bb8_0.conda  1 year and 11 months ago 449 main
conda 2.8 MB | osx-64/r-unmarked-1.3.2-r43hb3f7bb8_0.conda  1 year and 11 months ago 432 main
conda 2.8 MB | linux-64/r-unmarked-1.3.2-r43h7ce84a7_0.conda  1 year and 11 months ago 1809 main
conda 2.8 MB | linux-64/r-unmarked-1.3.2-r42h7ce84a7_0.conda  1 year and 11 months ago 1839 main

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