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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  20 days and 3 hours ago 368 main
conda 3.0 MB | win-64/r-unmarked-1.5.0-r43h8030635_0.conda  20 days and 3 hours ago 381 main
conda 3.0 MB | osx-64/r-unmarked-1.5.0-r44ha2209d4_0.conda  20 days and 3 hours ago 359 main
conda 3.0 MB | osx-64/r-unmarked-1.5.0-r43ha2209d4_0.conda  20 days and 3 hours ago 337 main
conda 3.1 MB | linux-64/r-unmarked-1.5.0-r43h9124c8a_0.conda  20 days and 3 hours ago 436 main
conda 3.1 MB | linux-64/r-unmarked-1.5.0-r44h9124c8a_0.conda  20 days and 3 hours ago 414 main

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