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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  6 months and 3 days ago 400 main
conda 3.0 MB | win-64/r-unmarked-1.5.0-r43h8030635_0.conda  6 months and 3 days ago 411 main
conda 3.0 MB | osx-64/r-unmarked-1.5.0-r44ha2209d4_0.conda  6 months and 3 days ago 381 main
conda 3.0 MB | osx-64/r-unmarked-1.5.0-r43ha2209d4_0.conda  6 months and 3 days ago 360 main
conda 3.1 MB | linux-64/r-unmarked-1.5.0-r43h9124c8a_0.conda  6 months and 3 days ago 875 main
conda 3.1 MB | linux-64/r-unmarked-1.5.0-r44h9124c8a_0.conda  6 months and 3 days ago 863 main

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