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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 3.7 MB | win-64/r-unmarked-1.1.0-r41h01f9f87_0.tar.bz2  3 years and 9 months ago 812 main
conda 3.8 MB | osx-64/r-unmarked-1.1.0-r41he059e9c_0.tar.bz2  3 years and 9 months ago 140 main
conda 3.9 MB | linux-64/r-unmarked-1.1.0-r41h6dc32e9_0.tar.bz2  3 years and 9 months ago 2428 main
conda 3.7 MB | win-64/r-unmarked-1.1.0-r36h01f9f87_0.tar.bz2  3 years and 9 months ago 835 main
conda 3.8 MB | win-64/r-unmarked-1.1.0-r40h01f9f87_0.tar.bz2  3 years and 9 months ago 835 main
conda 3.9 MB | osx-64/r-unmarked-1.1.0-r40he059e9c_0.tar.bz2  3 years and 9 months ago 157 main
conda 3.8 MB | osx-64/r-unmarked-1.1.0-r36he059e9c_0.tar.bz2  3 years and 9 months ago 154 main
conda 3.8 MB | linux-64/r-unmarked-1.1.0-r36h6dc32e9_0.tar.bz2  3 years and 9 months ago 2436 main
conda 3.9 MB | linux-64/r-unmarked-1.1.0-r40h6dc32e9_0.tar.bz2  3 years and 9 months ago 2444 main

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