Package: greencrab.toolkit
Title: Run 'Stan' Models to Interpret Green Crab Monitoring Assessments
Version: 0.2
Maintainer: Abigail G. Keller <agkeller@berkeley.edu>
Authors@R: 
    person("Abigail G.", "Keller", role = c("aut", "cre"), email="agkeller@berkeley.edu")
Description: 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>.
License: GPL-3
Encoding: UTF-8
RoxygenNote: 7.2.3
Biarch: true
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)
SystemRequirements: GNU make
NeedsCompilation: yes
Packaged: 2023-09-11 15:57:49 UTC; abby
Author: Abigail G. Keller [aut, cre]
Repository: CRAN
Date/Publication: 2023-09-12 21:10:02 UTC
Built: R 4.5.3; x86_64-w64-mingw32; 2026-07-01 05:40:30 UTC; windows
Archs: x64
