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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 16 hours ago 354 main
conda 2.8 MB | win-64/r-unmarked-1.4.3-r44h72df5a6_0.conda  7 months and 17 hours ago 389 main
conda 2.8 MB | osx-64/r-unmarked-1.4.3-r43h13361c4_0.conda  7 months and 17 hours ago 316 main
conda 2.9 MB | linux-64/r-unmarked-1.4.3-r44h3c5b104_0.conda  7 months and 17 hours ago 917 main
conda 2.8 MB | linux-64/r-unmarked-1.4.3-r43h3c5b104_0.conda  7 months and 17 hours ago 929 main
conda 2.8 MB | osx-64/r-unmarked-1.4.3-r44h13361c4_0.conda  7 months and 17 hours ago 335 main

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