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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  2 months and 21 days ago 383 main
conda 3.0 MB | win-64/r-unmarked-1.5.0-r43h8030635_0.conda  2 months and 21 days ago 394 main
conda 3.0 MB | osx-64/r-unmarked-1.5.0-r44ha2209d4_0.conda  2 months and 21 days ago 370 main
conda 3.0 MB | osx-64/r-unmarked-1.5.0-r43ha2209d4_0.conda  2 months and 21 days ago 345 main
conda 3.1 MB | linux-64/r-unmarked-1.5.0-r43h9124c8a_0.conda  2 months and 21 days ago 603 main
conda 3.1 MB | linux-64/r-unmarked-1.5.0-r44h9124c8a_0.conda  2 months and 21 days ago 597 main

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