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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-1.4.2-r44h72df5a6_0.conda  3 months and 13 days ago 120 main
conda 2.7 MB | win-64/r-unmarked-1.4.2-r43h72df5a6_0.conda  3 months and 13 days ago 115 main
conda 2.8 MB | osx-64/r-unmarked-1.4.2-r43h13361c4_0.conda  3 months and 13 days ago 106 main
conda 2.8 MB | osx-64/r-unmarked-1.4.2-r44h13361c4_0.conda  3 months and 13 days ago 118 main
conda 2.9 MB | linux-64/r-unmarked-1.4.2-r44h3c5b104_0.conda  3 months and 13 days ago 432 main
conda 2.8 MB | linux-64/r-unmarked-1.4.2-r43h3c5b104_0.conda  3 months and 13 days ago 444 main

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