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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 2.8 MB | win-64/r-unmarked-1.4.3-r43h72df5a6_0.conda  11 months and 12 days ago 373 main
conda 2.8 MB | win-64/r-unmarked-1.4.3-r44h72df5a6_0.conda  11 months and 12 days ago 408 main
conda 2.8 MB | osx-64/r-unmarked-1.4.3-r43h13361c4_0.conda  11 months and 12 days ago 330 main
conda 2.9 MB | linux-64/r-unmarked-1.4.3-r44h3c5b104_0.conda  11 months and 12 days ago 1211 main
conda 2.8 MB | linux-64/r-unmarked-1.4.3-r43h3c5b104_0.conda  11 months and 12 days ago 1235 main
conda 2.8 MB | osx-64/r-unmarked-1.4.3-r44h13361c4_0.conda  11 months and 12 days ago 348 main

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