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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  6 months and 26 days ago 352 main
conda 2.8 MB | win-64/r-unmarked-1.4.3-r44h72df5a6_0.conda  6 months and 26 days ago 387 main
conda 2.8 MB | osx-64/r-unmarked-1.4.3-r43h13361c4_0.conda  6 months and 26 days ago 315 main
conda 2.9 MB | linux-64/r-unmarked-1.4.3-r44h3c5b104_0.conda  6 months and 26 days ago 905 main
conda 2.8 MB | linux-64/r-unmarked-1.4.3-r43h3c5b104_0.conda  6 months and 26 days ago 916 main
conda 2.8 MB | osx-64/r-unmarked-1.4.3-r44h13361c4_0.conda  6 months and 26 days ago 334 main

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