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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  7 months and 6 hours ago 354 main
conda 2.8 MB | win-64/r-unmarked-1.4.3-r44h72df5a6_0.conda  7 months and 6 hours ago 389 main
conda 2.8 MB | osx-64/r-unmarked-1.4.3-r43h13361c4_0.conda  7 months and 6 hours ago 316 main
conda 2.9 MB | linux-64/r-unmarked-1.4.3-r44h3c5b104_0.conda  7 months and 6 hours ago 916 main
conda 2.8 MB | linux-64/r-unmarked-1.4.3-r43h3c5b104_0.conda  7 months and 6 hours ago 926 main
conda 2.8 MB | osx-64/r-unmarked-1.4.3-r44h13361c4_0.conda  7 months and 6 hours ago 335 main

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