Package: multiplestressR
Title: Additive and Multiplicative Null Models for Multiple Stressor
        Data
Version: 0.1.1
Date: 2021-10-10
Authors@R: 
    c(person(given = "Benjamin",
           family = "Burgess",
           role = c("aut", "cre"),
           email = "benjamin.joshua.burgess@gmail.com",
           comment = c(ORCID = "0000-0003-0439-0061")),
      person(given = "David",
           family = "Murrell",
           role = c("aut")))
Description: An implementation of the additive (Gurevitch et al., 2000 <doi:10.1086/303337>) 
    and multiplicative (Lajeunesse, 2011 <doi:10.1890/11-0423.1>) factorial null models for 
    multiple stressor data (Burgess et al., 2021 <doi:10.1101/2021.07.21.453207>). Effect sizes 
    are able to be calculated for either null model, and subsequently classified into one of 
    four different interaction classifications (e.g., antagonistic or synergistic interactions). 
    Analyses can be conducted on data for single experiments through to large meta-analytical datasets. 
    Minimal input (or statistical knowledge) is required, with any output easily understood. 
    Summary figures are also able to be easily generated.
URL: https://benjburgess.github.io/multiplestressR/
Imports: ggplot2, patchwork, viridis
License: GPL (>= 3)
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.2
Depends: R (>= 2.10)
Suggests: testthat (>= 3.0.0), spelling
Config/testthat/edition: 3
Language: en-US
NeedsCompilation: no
Packaged: 2021-10-22 11:07:57 UTC; Burgess
Author: Benjamin Burgess [aut, cre] (<https://orcid.org/0000-0003-0439-0061>),
  David Murrell [aut]
Maintainer: Benjamin Burgess <benjamin.joshua.burgess@gmail.com>
Repository: CRAN
Date/Publication: 2021-10-26 07:30:02 UTC
Built: R 4.0.2; ; 2021-10-27 10:50:59 UTC; unix
