DESCRIPTION

Type: Package
Package: autoLIMR
Title: 'Incorporation and Evaluation of Data Uncertainty in Ecological Networks'
Version: 3.0.1
Authors@R: person("Gemma", "Gerber",
   email = "gerber@iiasa.ac.at",
   role = c("aut", "cre"),
   comment = c(ORCID = "0000-0002-8722-3113"))
Maintainer: Gemma Gerber <gerber@iiasa.ac.at>
Description: An automated workflow to streamline incorporation and 
    evaluation of data uncertainty in ecological models with
    linear inverse modelling and Markov Chain Monte Carlo (LIM-MCMC) methods
    (van Oevelen et al., 2010) <doi:10.1007/s10021-009-9297-6>
    and MCMC convergence diagnostics (Plummer et al. 2020) 
    <https://CRAN.R-project.org/package=coda>. The main objectives are
    to improve the accessibility of LIM-MCMC,
    reduce coding errors, and provide a consistent framework to enhance 
    model output reporting and reproducibility.
License: MIT + file LICENSE
URL: https://github.com/gemmagerber/autoLIMR
BugReports: https://github.com/gemmagerber/autoLIMR/issues
Imports:
    cellranger (>= 1.1.0),
    coda (>= 0.19.4),
    LIM (>= 1.4.7),
    network (>= 1.18.0),
    readxl (>= 1.4.1),
    utils (>= 3.6.3)
Suggests: 
    covr (>= 3.6.1),
    devtools (>= 2.4.5),
    knitr (>= 1.40),
    rmarkdown (>= 2.17),
    spelling,
    testthat (>= 3.1.5)
VignetteBuilder: 
    knitr
Config/testthat/edition: 3
Encoding: UTF-8
LazyData: true
Language: en-US
RoxygenNote: 7.3.2