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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 2.8 MB | win-64/r-unmarked-1.4.3-r43h72df5a6_0.conda  1 year and 23 days ago 378 main
conda 2.8 MB | win-64/r-unmarked-1.4.3-r44h72df5a6_0.conda  1 year and 23 days ago 413 main
conda 2.8 MB | osx-64/r-unmarked-1.4.3-r43h13361c4_0.conda  1 year and 23 days ago 336 main
conda 2.9 MB | linux-64/r-unmarked-1.4.3-r44h3c5b104_0.conda  1 year and 23 days ago 1291 main
conda 2.8 MB | linux-64/r-unmarked-1.4.3-r43h3c5b104_0.conda  1 year and 23 days ago 1311 main
conda 2.8 MB | osx-64/r-unmarked-1.4.3-r44h13361c4_0.conda  1 year and 23 days ago 352 main

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