greencrab.toolkit: Run 'Stan' Models to Interpret Green Crab Monitoring Assessments
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: |
0.1 |
| Depends: |
R (≥ 3.4.0) |
| Imports: |
methods, Rcpp (≥ 0.12.0), RcppParallel (≥ 5.0.1), rstan (≥
2.18.1), rstantools (≥ 2.2.0) |
| LinkingTo: |
BH (≥ 1.66.0), Rcpp (≥ 0.12.0), RcppEigen (≥ 0.3.3.3.0), RcppParallel (≥ 5.0.1), rstan (≥ 2.18.1), StanHeaders (≥
2.18.0) |
| Published: |
2023-03-13 |
| 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 |
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