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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 4.4 MB | win-64/r-unmarked-1.2.3-r40h01f9f87_0.tar.bz2  2 years and 10 months ago 723 main
conda 4.3 MB | win-64/r-unmarked-1.2.3-r41h01f9f87_0.tar.bz2  2 years and 10 months ago 699 main
conda 4.5 MB | osx-64/r-unmarked-1.2.3-r41hca8169d_0.tar.bz2  2 years and 10 months ago 72 main
conda 4.6 MB | osx-64/r-unmarked-1.2.3-r40hca8169d_0.tar.bz2  2 years and 10 months ago 79 main
conda 4.5 MB | linux-64/r-unmarked-1.2.3-r41hcec875b_0.tar.bz2  2 years and 10 months ago 2078 main
conda 4.4 MB | linux-64/r-unmarked-1.2.3-r40hcec875b_0.tar.bz2  2 years and 10 months ago 2064 main

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