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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 11 days ago 401 main
conda 3.0 MB | win-64/r-unmarked-1.5.0-r43h8030635_0.conda  6 months and 11 days ago 412 main
conda 3.0 MB | osx-64/r-unmarked-1.5.0-r44ha2209d4_0.conda  6 months and 11 days ago 382 main
conda 3.0 MB | osx-64/r-unmarked-1.5.0-r43ha2209d4_0.conda  6 months and 11 days ago 361 main
conda 3.1 MB | linux-64/r-unmarked-1.5.0-r43h9124c8a_0.conda  6 months and 11 days ago 891 main
conda 3.1 MB | linux-64/r-unmarked-1.5.0-r44h9124c8a_0.conda  6 months and 11 days ago 882 main

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