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
Config/pak/sysreqs: make
Repository: https://abigailkeller.r-universe.dev
Date/Publication: 2023-09-11 15:57:18 UTC
RemoteUrl: https://github.com/abigailkeller/greencrab.toolkit
RemoteRef: HEAD
RemoteSha: 249f6e251286239974baa6ebc6f8b03ac6dce781
NeedsCompilation: yes
Packaged: 2026-07-08 08:40:17 UTC; root
Author: Abigail G. Keller [aut, cre]