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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 2.8 MB | win-64/r-unmarked-1.4.1-r44h72df5a6_1.conda  1 year and 2 months ago 510 main
conda 2.8 MB | win-64/r-unmarked-1.4.1-r43h72df5a6_1.conda  1 year and 2 months ago 480 main
conda 2.9 MB | osx-64/r-unmarked-1.4.1-r43h3eeea24_1.conda  1 year and 2 months ago 465 main
conda 2.9 MB | osx-64/r-unmarked-1.4.1-r44h3eeea24_1.conda  1 year and 2 months ago 468 main
conda 2.9 MB | linux-64/r-unmarked-1.4.1-r43h4387864_1.conda  1 year and 2 months ago 1488 main
conda 2.9 MB | linux-64/r-unmarked-1.4.1-r44h4387864_1.conda  1 year and 2 months ago 1453 main
conda 2.8 MB | win-64/r-unmarked-1.4.1-r41h56ffbbb_0.conda  1 year and 8 months ago 567 main
conda 2.9 MB | osx-64/r-unmarked-1.4.1-r43h012540a_0.conda  1 year and 8 months ago 473 main
conda 2.8 MB | osx-64/r-unmarked-1.4.1-r42h012540a_0.conda  1 year and 8 months ago 426 main
conda 2.9 MB | linux-64/r-unmarked-1.4.1-r43h7ce84a7_0.conda  1 year and 8 months ago 1894 main
conda 2.9 MB | linux-64/r-unmarked-1.4.1-r42h7ce84a7_0.conda  1 year and 8 months ago 1860 main

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