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 ) and multiplicative (Lajeunesse, 2011 ) factorial null models for multiple stressor data (Burgess et al., 2021 ). 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 Repository: https://benjburgess.r-universe.dev Date/Publication: 2021-10-22 11:05:59 UTC RemoteUrl: https://github.com/benjburgess/multiplestressr RemoteRef: HEAD RemoteSha: ed718ad891c13d629c9cb12ad3edf3c0805ffdc2 NeedsCompilation: no Packaged: 2026-07-14 04:41:53 UTC; root Author: Benjamin Burgess [aut, cre] (ORCID: ), David Murrell [aut] Maintainer: Benjamin Burgess