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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-1.4.2-r44h72df5a6_0.conda  1 year and 1 month ago 419 main
conda 2.7 MB | win-64/r-unmarked-1.4.2-r43h72df5a6_0.conda  1 year and 1 month ago 434 main
conda 2.8 MB | osx-64/r-unmarked-1.4.2-r43h13361c4_0.conda  1 year and 1 month ago 360 main
conda 2.8 MB | osx-64/r-unmarked-1.4.2-r44h13361c4_0.conda  1 year and 1 month ago 352 main
conda 2.9 MB | linux-64/r-unmarked-1.4.2-r44h3c5b104_0.conda  1 year and 1 month ago 1278 main
conda 2.8 MB | linux-64/r-unmarked-1.4.2-r43h3c5b104_0.conda  1 year and 1 month ago 1288 main

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