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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 3.4 MB | win-64/r-unmarked-1.0.1-r36haf2acee_0.tar.bz2  5 years and 3 months ago 1044 main
conda 3.5 MB | win-64/r-unmarked-1.0.1-r40haf2acee_0.tar.bz2  5 years and 3 months ago 1052 main
conda 3.4 MB | osx-64/r-unmarked-1.0.1-r40ha4e0109_0.tar.bz2  5 years and 3 months ago 338 main
conda 3.3 MB | osx-64/r-unmarked-1.0.1-r36ha4e0109_0.tar.bz2  5 years and 3 months ago 325 main
conda 3.4 MB | linux-64/r-unmarked-1.0.1-r40hc8faad4_0.tar.bz2  5 years and 3 months ago 3614 main
conda 3.3 MB | linux-64/r-unmarked-1.0.1-r36hc8faad4_0.tar.bz2  5 years and 3 months ago 3838 main

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