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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 2.7 MB | win-64/r-unmarked-1.3.2-r41h56ffbbb_0.conda  1 year and 5 months ago 406 main
conda 2.8 MB | osx-64/r-unmarked-1.3.2-r42hb3f7bb8_0.conda  1 year and 5 months ago 231 main
conda 2.8 MB | osx-64/r-unmarked-1.3.2-r43hb3f7bb8_0.conda  1 year and 5 months ago 197 main
conda 2.8 MB | linux-64/r-unmarked-1.3.2-r43h7ce84a7_0.conda  1 year and 5 months ago 1171 main
conda 2.8 MB | linux-64/r-unmarked-1.3.2-r42h7ce84a7_0.conda  1 year and 5 months ago 1216 main

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