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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 17 days ago 350 main
conda 2.8 MB | win-64/r-unmarked-1.4.3-r44h72df5a6_0.conda  6 months and 17 days ago 386 main
conda 2.8 MB | osx-64/r-unmarked-1.4.3-r43h13361c4_0.conda  6 months and 17 days ago 313 main
conda 2.9 MB | linux-64/r-unmarked-1.4.3-r44h3c5b104_0.conda  6 months and 17 days ago 885 main
conda 2.8 MB | linux-64/r-unmarked-1.4.3-r43h3c5b104_0.conda  6 months and 17 days ago 895 main
conda 2.8 MB | osx-64/r-unmarked-1.4.3-r44h13361c4_0.conda  6 months and 17 days ago 330 main

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