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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-post-staging / r-unmarked
Type Size Name Uploaded Downloads Labels
conda 3.1 MB | osx-64/r-unmarked-1.5.1-r44hbe0d830_0.conda  13 days and 12 hours ago 32 main
conda 3.1 MB | win-64/r-unmarked-1.5.1-r44hbf8e588_0.conda  13 days and 12 hours ago 23 main
conda 3.0 MB | osx-64/r-unmarked-1.5.1-r45hbe0d830_0.conda  13 days and 12 hours ago 28 main
conda 3.1 MB | win-64/r-unmarked-1.5.1-r45hbf8e588_0.conda  13 days and 12 hours ago 27 main
conda 3.2 MB | linux-64/r-unmarked-1.5.1-r44hf1899b2_0.conda  13 days and 12 hours ago 72 main
conda 3.2 MB | linux-64/r-unmarked-1.5.1-r45hf1899b2_0.conda  13 days and 12 hours ago 73 main

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