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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 421 main
conda 2.7 MB | win-64/r-unmarked-1.4.2-r43h72df5a6_0.conda  1 year and 1 month ago 438 main
conda 2.8 MB | osx-64/r-unmarked-1.4.2-r43h13361c4_0.conda  1 year and 1 month ago 363 main
conda 2.8 MB | osx-64/r-unmarked-1.4.2-r44h13361c4_0.conda  1 year and 1 month ago 356 main
conda 2.9 MB | linux-64/r-unmarked-1.4.2-r44h3c5b104_0.conda  1 year and 1 month ago 1299 main
conda 2.8 MB | linux-64/r-unmarked-1.4.2-r43h3c5b104_0.conda  1 year and 1 month ago 1314 main

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