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These Bayesian models written in the 'Stan' probabilistic language can be used to interpret green crab trapping and environmental DNA monitoring data, either independently or jointly. Detailed model information is found in Keller (2022) <doi:10.1002/eap.2561>.
Version: | 0.2 |
Depends: | R (≥ 3.4.0) |
Imports: | Rcpp (≥ 0.12.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.26.23), rstantools (≥ 2.2.0), methods |
LinkingTo: | BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥ 0.3.3.3.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.26.23), StanHeaders (≥ 2.26.22) |
Published: | 2023-09-12 |
DOI: | 10.32614/CRAN.package.greencrab.toolkit |
Author: | Abigail G. Keller [aut, cre] |
Maintainer: | Abigail G. Keller <agkeller at berkeley.edu> |
License: | GPL-3 |
NeedsCompilation: | yes |
SystemRequirements: | GNU make |
CRAN checks: | greencrab.toolkit results |
Reference manual: | greencrab.toolkit.pdf |
Package source: | greencrab.toolkit_0.2.tar.gz |
Windows binaries: | r-devel: greencrab.toolkit_0.2.zip, r-release: greencrab.toolkit_0.2.zip, r-oldrel: greencrab.toolkit_0.2.zip |
macOS binaries: | r-release (arm64): greencrab.toolkit_0.2.tgz, r-oldrel (arm64): greencrab.toolkit_0.2.tgz, r-release (x86_64): greencrab.toolkit_0.2.tgz, r-oldrel (x86_64): greencrab.toolkit_0.2.tgz |
Old sources: | greencrab.toolkit archive |
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