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NEWS.md

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* The *collapse* article is now published in the Journal of Statistical Software: https://doi.org/10.18637/jss.v116.i01. This article is now the primary citation for academic use of *collapse*. It is also a great reference to quickly and thoroughly understand the package. `citation("collapse")` was also updated in this regard. The APA-style citation is:
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Krantz, S. (2026). **collapse**: Advanced and fast statistical computing and data transformation in R. *Journal of Statistical Software, 116*(1), 1–38. [https://doi.org/10.18637/jss.v116.i01](https://doi.org/10.18637/jss.v116.i01)
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Krantz, S. (2026). **collapse**: Advanced and fast statistical computing and data transformation in R. *Journal of Statistical Software, 116*(1), 1–38. [https://doi.org/10.18637/jss.v116.i01](https://doi.org/10.18637/jss.v116.i01).
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* Performance improvements to `fsum()` and `fmean()` in the non-grouped case through multiple-accumulator SIMD optimizations, particularly benefiting systems without OpenMP support. `fsum()` sees ~2x speedup and `fmean()` ~7x speedup on such systems, with smaller but notable gains on systems with OpenMP. Thanks @TylerSagendorf for the implementation and benchmarking (#824, #828, #832, #833).

README.md

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The [**collapse** article](https://doi.org/10.18637/jss.v116.i01) is published in the [Journal of Statistical Software](https://www.jstatsoft.org/) (volume 116, issue 1). It is the primary reference for academic use of the package and a concise introduction to its design and capabilities.
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### Presentation at [useR 2022](https://user2022.r-project.org)
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### Presentations
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[**Video Recording**](<https://www.youtube.com/watch?v=OwWT1-dSEts>) |
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[**Slides**](<https://raw.githubusercontent.com/fastverse/collapse/master/misc/useR2022%20presentation/collapse_useR2022_final.pdf>)
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* [**useR 2022**](https://user2022.r-project.org): [Video Recording](<https://www.youtube.com/watch?v=OwWT1-dSEts>) | [Slides](<https://raw.githubusercontent.com/fastverse/collapse/master/misc/useR2022%20presentation/collapse_useR2022_final.pdf>)
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* [**BPLIM Workshop 2025**](https://www.bportugal.pt/en/evento/workshop-speeding-empirical-research-tools-and-techniques-fast-computing-bplim): [Video Recording](<https://www.youtube.com/watch?v=qO5dHIPsfK8>) | [Slides](<https://raw.githubusercontent.com/BPLIM/Workshops/master/BPLIM2025/Day2_03_Sebastian_Krantz.pdf>)
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## Example Usage
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This provides a simple set of examples introducing some important features of *collapse*. It should be easy to follow for readers familiar with R.
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## Citation
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If *collapse* was instrumental for your research project, please consider citing it using `citation("collapse")`.
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If *collapse* was instrumental for your research project, please consider citing it using:
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Krantz, S. (2026). **collapse**: Advanced and fast statistical computing and data transformation in R. *Journal of Statistical Software, 116*(1), 1–38. [https://doi.org/10.18637/jss.v116.i01](https://doi.org/10.18637/jss.v116.i01).
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```
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@article{krantz2026collapse,
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title = {{collapse}: Advanced and Fast Statistical Computing and Data Transformation in {R}},
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author = {Sebastian Krantz},
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journal = {Journal of Statistical Software},
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year = {2026},
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volume = {116},
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number = {1},
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pages = {1--38},
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doi = {10.18637/jss.v116.i01},
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}
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```
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For a full proper citation also cite the current R package version using `citation("collapse")`.
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inst/CITATION

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citHeader("To cite collapse in publications, please use:")
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bibentry(bibtype = "misc",
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bibentry(bibtype = "article",
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key = "krantz2026collapse",
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title = "{collapse}: Advanced and Fast Statistical Computing and Data Transformation in {R}",
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author = person(given = "Sebastian",

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