Some minor design tweaks

.github/workflows/rworkflows.yml

@@ -0,0 +1,57 @@
+name: rworkflows
+'on':
+  push:
+    branches:
+    - master
+    - main
+    - devel
+    - RELEASE_**
+  pull_request:
+    branches:
+    - master
+    - main
+    - devel
+    - RELEASE_**
+jobs:
+  rworkflows:
+    permissions: write-all
+    runs-on: ${{ matrix.config.os }}
+    name: ${{ matrix.config.os }} (${{ matrix.config.r }})
+    container: ${{ matrix.config.cont }}
+    strategy:
+      fail-fast: ${{ false }}
+      matrix:
+        config:
+        - os: ubuntu-latest
+          bioc: devel
+          r: auto
+          cont: ghcr.io/bioconductor/bioconductor_docker:devel
+          rspm: ~
+        - os: macOS-latest
+          bioc: release
+          r: auto
+          cont: ~
+          rspm: ~
+        - os: windows-latest
+          bioc: release
+          r: auto
+          cont: ~
+          rspm: ~
+    steps:
+    - uses: neurogenomics/rworkflows@master
+      with:
+        run_bioccheck: ${{ false }}
+        run_rcmdcheck: ${{ true }}
+        as_cran: ${{ true }}
+        run_vignettes: ${{ true }}
+        has_testthat: ${{ true }}
+        run_covr: ${{ true }}
+        run_pkgdown: ${{ true }}
+        has_runit: ${{ false }}
+        has_latex: ${{ false }}
+        GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
+        run_docker: ${{ false }}
+        DOCKER_TOKEN: ${{ secrets.DOCKER_TOKEN }}
+        runner_os: ${{ runner.os }}
+        cache_version: cache-v1
+        docker_registry: ghcr.io

DESCRIPTION

@@ -3,10 +3,10 @@ Package: autoLIMR
 Title: 'Incorporation and Evaluation of Data Uncertainty in Ecological Networks'
 Version: 3.0.1
 Authors@R: person("Gemma", "Gerber",
-   email = "[email protected]",
+   email = "[email protected]",
    role = c("aut", "cre"),
    comment = c(ORCID = "0000-0002-8722-3113"))
-Maintainer: Gemma Gerber <[email protected]>
+Maintainer: Gemma Gerber <[email protected]>
 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
@@ -38,5 +38,5 @@ VignetteBuilder:
 Config/testthat/edition: 3
 Encoding: UTF-8
 LazyData: true
-RoxygenNote: 7.2.3
 Language: en-US
+RoxygenNote: 7.3.2

inst/CITATION

@@ -1,11 +1,14 @@
 citHeader("To cite autoLIMR in publications use:")
 
 bibentry(
-  bibtype  = "Unpublished",
-  note     = "in review",
+  bibtype  = "Article",
   title    = "'autoLIMR': Automated Workflow for Incorporation and Evaluation of Data Uncertainty in Ecological Networks",
-  author   = person("Gemma Gerber"),
+  author   = as.person("Gemma Gerber [aut], Ben Brooker [aut], Ursula M. Scharler[aut]"),
   year     = "2023",
-  url      = "https://github.com/gemmagerber/autoLIMR",
-  textVersion = "Gerber, G. 2023. 'autoLIMR': Automated Workflow for Incorporation and Evaluation of Data Uncertainty in Ecological Networks. R package v 2.2.2. URL: https://github.com/gemmagerber/autoLIMR"
+  journal  = "Ecological Informatics",
+  volume   = "78",
+  pages    = "102375",
+  issn     = "1574-9541",
+  doi      = "10.1016/j.ecoinf.2023.102375",
+  textVersion = "Gerber, G., Brooker, B., Scharler, U.M., 2023. Automated workflow for incorporation and evaluation of data uncertainty in ecological networks with autoLIMR. Ecol. Inform. 78, 102375. https://doi.org/10.1016/j.ecoinf.2023.102375"
 )