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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-1.4.3-r43h72df5a6_0.conda  1 year and 1 month ago 380 main
conda 2.8 MB | win-64/r-unmarked-1.4.3-r44h72df5a6_0.conda  1 year and 1 month ago 415 main
conda 2.8 MB | osx-64/r-unmarked-1.4.3-r43h13361c4_0.conda  1 year and 1 month ago 340 main
conda 2.9 MB | linux-64/r-unmarked-1.4.3-r44h3c5b104_0.conda  1 year and 1 month ago 1319 main
conda 2.8 MB | linux-64/r-unmarked-1.4.3-r43h3c5b104_0.conda  1 year and 1 month ago 1341 main
conda 2.8 MB | osx-64/r-unmarked-1.4.3-r44h13361c4_0.conda  1 year and 1 month ago 357 main

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