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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 27 days ago 418 main
conda 2.7 MB | win-64/r-unmarked-1.4.2-r43h72df5a6_0.conda  1 year and 27 days ago 433 main
conda 2.8 MB | osx-64/r-unmarked-1.4.2-r43h13361c4_0.conda  1 year and 27 days ago 359 main
conda 2.8 MB | osx-64/r-unmarked-1.4.2-r44h13361c4_0.conda  1 year and 27 days ago 351 main
conda 2.9 MB | linux-64/r-unmarked-1.4.2-r44h3c5b104_0.conda  1 year and 27 days ago 1263 main
conda 2.8 MB | linux-64/r-unmarked-1.4.2-r43h3c5b104_0.conda  1 year and 27 days ago 1269 main

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