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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 379 main
conda 2.8 MB | win-64/r-unmarked-1.4.3-r44h72df5a6_0.conda  1 year and 1 month ago 414 main
conda 2.8 MB | osx-64/r-unmarked-1.4.3-r43h13361c4_0.conda  1 year and 1 month ago 337 main
conda 2.9 MB | linux-64/r-unmarked-1.4.3-r44h3c5b104_0.conda  1 year and 1 month ago 1305 main
conda 2.8 MB | linux-64/r-unmarked-1.4.3-r43h3c5b104_0.conda  1 year and 1 month ago 1330 main
conda 2.8 MB | osx-64/r-unmarked-1.4.3-r44h13361c4_0.conda  1 year and 1 month ago 353 main

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