refine JOSS paper citations

Author: simonpcouch

figs/paper/paper.Rmd

@@ -92,7 +92,7 @@ Beyond this, the `infer` package offers:
 
 # Comparison to Other Packages
 
-Several software packages on the Comprehensive R Archive Network share functionality with `infer` [@CRAN]. `broom` and `parameters` convert model objects to unified output formats, though they do not provide methods for fitting models, describing null distributions, performing bootstrapping, or calculating summary statistics from tabular data. `statsexpressions`, and adjacent packages in the `easystats` ecosystem, implement wrappers with consistent interfaces for theory-based hypothesis tests. Similarly, `mosaic` is a package used to teach statistics by unifying summary statistics, visualization, and modeling with a consistent API built around R's formula interface. The `mosaic` package also includes functionality to conduct randomization-based inference. At a higher level, though, the structure of each of these packages is defined by model types and statistics, where each model type or statistic has its own associated function and/or object class. In contrast, `infer` is structured around four functions, situating statistics and model types within a more abstracted grammar.^[This grammar follows from Allen Downey's "there is only one test" framework [@downey2016].] 
+Several software packages on the Comprehensive R Archive Network share functionality with `infer` [@CRAN]. `broom` and `parameters` convert model objects to unified output formats, though they do not provide methods for fitting models, describing null distributions, performing bootstrapping, or calculating summary statistics from tabular data [@r-broom; @r-parameters]. `statsExpressions`, and adjacent packages in the `easystats` ecosystem, implement wrappers with consistent interfaces for theory-based hypothesis tests [@r-statsExpressions]. Similarly, `mosaic` is a package used to teach statistics by unifying summary statistics, visualization, and modeling with a consistent API built around R's formula interface. The `mosaic` package also includes functionality to conduct randomization-based inference [@r-mosaic]. At a higher level, though, the structure of each of these packages is defined by model types and statistics, where each model type or statistic has its own associated function and/or object class. In contrast, `infer` is structured around four functions, situating statistics and model types within a more abstracted grammar.^[This grammar follows from Allen Downey's "there is only one test" framework [@downey2016].] 
 
 # Acknowledgements
 

figs/paper/paper.bib

@@ -118,5 +118,49 @@ @article{downey2016
   title={There is still only one test},
   author={Downey, Allen B},
   year={2016},
-  publisher={"Probably Overthinking It"}
+  publisher={"Probably Overthinking It"},
+  url = {http://allendowney.blogspot.com/2016/06/there-is-still-only-one-test.html}
+}
+
+@Article{r-mosaic,
+  author = {Randall Pruim and Daniel T Kaplan and Nicholas J Horton},
+  title = {The mosaic Package: Helping Students to 'Think with Data' Using R},
+  journal = {The R Journal},
+  volume = {9},
+  number = {1},
+  pages = {77--102},
+  year = {2017},
+  url = {https://journal.r-project.org/archive/2017/RJ-2017-024/index.html},
+}
+
+@Article{r-statsExpressions,
+  doi = {10.21105/joss.03236},
+  url = {https://doi.org/10.21105/joss.03236},
+  year = {2021},
+  publisher = {{The Open Journal}},
+  volume = {6},
+  number = {61},
+  pages = {3236},
+  author = {Indrajeet Patil},
+  title = {{statsExpressions: {R} Package for Tidy Dataframes and Expressions with Statistical Details}},
+  journal = {{Journal of Open Source Software}},
+}
+
+@Article{r-parameters,
+  title = {Extracting, Computing and Exploring the Parameters of Statistical Models using {R}.},
+  volume = {5},
+  doi = {10.21105/joss.02445},
+  number = {53},
+  journal = {Journal of Open Source Software},
+  author = {Daniel Lüdecke and Mattan S. Ben-Shachar and Indrajeet Patil and Dominique Makowski},
+  year = {2020},
+  pages = {2445},
+}
+  
+@Manual{r-broom,
+  title = {broom: Convert Statistical Objects into Tidy Tibbles},
+  author = {David Robinson and Alex Hayes and Simon Couch},
+  year = {2021},
+  note = {R package version 0.7.9},
+  url = {https://CRAN.R-project.org/package=broom},
 }

figs/paper/paper.log

@@ -1,4 +1,4 @@
-This is XeTeX, Version 3.14159265-2.6-0.99999 (TeX Live 2018) (preloaded format=xelatex 2018.4.16)  30 JUL 2021 11:44
+This is XeTeX, Version 3.14159265-2.6-0.99999 (TeX Live 2018) (preloaded format=xelatex 2018.4.16)  11 SEP 2021 20:13
 entering extended mode
  restricted \write18 enabled.
  %&-line parsing enabled.
@@ -1527,11 +1527,11 @@ Package Fancyhdr Warning: \headheight is too small (62.59596pt):
  This may cause the page layout to be inconsistent, however.
 
 [4]
-Package atveryend Info: Empty hook `BeforeClearDocument' on input line 517.
-Package atveryend Info: Empty hook `AfterLastShipout' on input line 517.
+Package atveryend Info: Empty hook `BeforeClearDocument' on input line 543.
+Package atveryend Info: Empty hook `AfterLastShipout' on input line 543.
 (./paper.aux)
-Package atveryend Info: Empty hook `AtVeryEndDocument' on input line 517.
-Package atveryend Info: Executing hook `AtEndAfterFileList' on input line 517.
+Package atveryend Info: Empty hook `AtVeryEndDocument' on input line 543.
+Package atveryend Info: Executing hook `AtEndAfterFileList' on input line 543.
 Package rerunfilecheck Info: File `paper.out' has not changed.
 (rerunfilecheck)             Checksum: 119F0C1EB97B96F62103D82D4B4F1B79.
 Package logreq Info: Writing requests to 'paper.run.xml'.
@@ -1541,7 +1541,7 @@ Package logreq Info: Writing requests to 'paper.run.xml'.
 Here is how much of TeX's memory you used:
  41154 strings out of 492970
  809494 string characters out of 6133938
- 1281756 words of memory out of 5000000
+ 1282756 words of memory out of 5000000
  44661 multiletter control sequences out of 15000+600000
  537136 words of font info for 69 fonts, out of 8000000 for 9000
  1348 hyphenation exceptions out of 8191

figs/paper/paper.md

@@ -92,7 +92,7 @@ Beyond this, the `infer` package offers:
 
 # Comparison to Other Packages
 
-Several software packages on the Comprehensive R Archive Network share functionality with `infer` [@CRAN]. `broom` and `parameters` convert model objects to unified output formats, though they do not provide methods for fitting models, describing null distributions, performing bootstrapping, or calculating summary statistics from tabular data. `statsexpressions`, and adjacent packages in the `easystats` ecosystem, implement wrappers with consistent interfaces for theory-based hypothesis tests. Similarly, `mosaic` is a package used to teach statistics by unifying summary statistics, visualization, and modeling with a consistent API built around R's formula interface. The `mosaic` package also includes functionality to conduct randomization-based inference. At a higher level, though, the structure of each of these packages is defined by model types and statistics, where each model type or statistic has its own associated function and/or object class. In contrast, `infer` is structured around four functions, situating statistics and model types within a more abstracted grammar.^[This grammar follows from Allen Downey's "there is only one test" framework [@downey2016].] 
+Several software packages on the Comprehensive R Archive Network share functionality with `infer` [@CRAN]. `broom` and `parameters` convert model objects to unified output formats, though they do not provide methods for fitting models, describing null distributions, performing bootstrapping, or calculating summary statistics from tabular data [@r-broom; @r-parameters]. `statsExpressions`, and adjacent packages in the `easystats` ecosystem, implement wrappers with consistent interfaces for theory-based hypothesis tests [@r-statsExpressions]. Similarly, `mosaic` is a package used to teach statistics by unifying summary statistics, visualization, and modeling with a consistent API built around R's formula interface. The `mosaic` package also includes functionality to conduct randomization-based inference [@r-mosaic]. At a higher level, though, the structure of each of these packages is defined by model types and statistics, where each model type or statistic has its own associated function and/or object class. In contrast, `infer` is structured around four functions, situating statistics and model types within a more abstracted grammar.^[This grammar follows from Allen Downey's "there is only one test" framework [@downey2016].] 
 
 # Acknowledgements