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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-1.4.2-r44h72df5a6_0.conda  6 months and 28 days ago 391 main
conda 2.7 MB | win-64/r-unmarked-1.4.2-r43h72df5a6_0.conda  6 months and 28 days ago 406 main
conda 2.8 MB | osx-64/r-unmarked-1.4.2-r43h13361c4_0.conda  6 months and 28 days ago 340 main
conda 2.8 MB | osx-64/r-unmarked-1.4.2-r44h13361c4_0.conda  6 months and 28 days ago 331 main
conda 2.9 MB | linux-64/r-unmarked-1.4.2-r44h3c5b104_0.conda  6 months and 28 days ago 870 main
conda 2.8 MB | linux-64/r-unmarked-1.4.2-r43h3c5b104_0.conda  6 months and 28 days ago 857 main

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