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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  3 months and 11 days ago 108 main
conda 2.8 MB | win-64/r-unmarked-1.4.3-r44h72df5a6_0.conda  3 months and 11 days ago 109 main
conda 2.8 MB | osx-64/r-unmarked-1.4.3-r43h13361c4_0.conda  3 months and 11 days ago 93 main
conda 2.9 MB | linux-64/r-unmarked-1.4.3-r44h3c5b104_0.conda  3 months and 11 days ago 453 main
conda 2.8 MB | linux-64/r-unmarked-1.4.3-r43h3c5b104_0.conda  3 months and 11 days ago 480 main
conda 2.8 MB | osx-64/r-unmarked-1.4.3-r44h13361c4_0.conda  3 months and 11 days ago 100 main

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