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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 3.4 MB | win-64/r-unmarked-1.0.1-r36haf2acee_0.tar.bz2  5 years and 1 month ago 1041 main
conda 3.5 MB | win-64/r-unmarked-1.0.1-r40haf2acee_0.tar.bz2  5 years and 1 month ago 1048 main
conda 3.4 MB | osx-64/r-unmarked-1.0.1-r40ha4e0109_0.tar.bz2  5 years and 1 month ago 335 main
conda 3.3 MB | osx-64/r-unmarked-1.0.1-r36ha4e0109_0.tar.bz2  5 years and 1 month ago 322 main
conda 3.4 MB | linux-64/r-unmarked-1.0.1-r40hc8faad4_0.tar.bz2  5 years and 1 month ago 3510 main
conda 3.3 MB | linux-64/r-unmarked-1.0.1-r36hc8faad4_0.tar.bz2  5 years and 1 month ago 3744 main

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