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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  4 years and 8 months ago 1033 main
conda 3.5 MB | win-64/r-unmarked-1.0.1-r40haf2acee_0.tar.bz2  4 years and 8 months ago 1039 main
conda 3.4 MB | osx-64/r-unmarked-1.0.1-r40ha4e0109_0.tar.bz2  4 years and 8 months ago 332 main
conda 3.3 MB | osx-64/r-unmarked-1.0.1-r36ha4e0109_0.tar.bz2  4 years and 8 months ago 318 main
conda 3.4 MB | linux-64/r-unmarked-1.0.1-r40hc8faad4_0.tar.bz2  4 years and 8 months ago 3176 main
conda 3.3 MB | linux-64/r-unmarked-1.0.1-r36hc8faad4_0.tar.bz2  4 years and 8 months ago 3396 main

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