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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 3.0 MB | win-64/r-unmarked-1.5.0-r44h8030635_0.conda  4 months and 16 days ago 391 main
conda 3.0 MB | win-64/r-unmarked-1.5.0-r43h8030635_0.conda  4 months and 16 days ago 403 main
conda 3.0 MB | osx-64/r-unmarked-1.5.0-r44ha2209d4_0.conda  4 months and 16 days ago 378 main
conda 3.0 MB | osx-64/r-unmarked-1.5.0-r43ha2209d4_0.conda  4 months and 16 days ago 355 main
conda 3.1 MB | linux-64/r-unmarked-1.5.0-r43h9124c8a_0.conda  4 months and 16 days ago 777 main
conda 3.1 MB | linux-64/r-unmarked-1.5.0-r44h9124c8a_0.conda  4 months and 16 days ago 754 main

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