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#' @section `isba_article`: Format for creating submissions to Bayesian analysis.
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#' Based on the official Bayesian analysis [class](https://www.e-publications.org/isba/support/).
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#' Template shows how to use this format as a base format for `bookdown::pdf_book`, but it can very well be used on its own (with limitations that figure referencing will not work).
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#' Note that the template sets `md_extensions` to exclude `-autolink_bare_uris` because otherwise author emails produce error
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#'
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#' Possible arguments for the YAML header are:
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#' * `title` title of the manuscript. Shorter version of the title can be provided as `runtitle`.
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#' * `classoption` should equal `ba` or `ba,preprint` for supplementary article.``
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#' * `author` list of authors, containing `firstname`, `lastname`, `email`, `url`, `affiliationref` (as code) and `footnoterefs` (as list of codes)
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#' * `affiliations` list containing `ref` (code for defining `author` affiliations), institution `name` and `address` itself
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#' * `footnotes` a list of two-element entries: `ref` and `text`
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#' * `abstract` abstract, limited to 250 words
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#' * `MSC2020primary`, `MSC2020primary` lists of codes from [MCS2020 database](https://mathscinet.ams.org/mathscinet/msc/msc2020.html)
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#' * `keywords` a list of keywords
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#' * `supplements` a list of entries with two elements `title` and `description`
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#' * `doi` DOI of the article
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#' * `arxiv` Arxiv id
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#' * `acknowledgements` acknowledgement text, limited to 250 words
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#' * `bibliography` BibTeX `.bib` file
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#' * `longtable` set to `true` to include the `longtable` package, used by default from `pandoc` to convert markdown to LaTeX code
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#' * `header-includes`: custom additions to the header, before the `\begin{document}` statement
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#' * `include-after`: for including additional LaTeX code before the `\end{document}` statement
|[IMS: Institute of Mathematical Statistics](https://imstat.org/)[AoAS: Annals of Applied Statistics](https://imstat.org/journals-and-publications/annals-of-applied-statistics/)|[\@auzaheta](https://github.com/auzaheta)|[\#372](https://github.com/rstudio/rticles/pull/372)|`ims_article()`|
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|[INFORMS: Institute for Operations Research and the Management Sciences](https://informs.org/)|[\@robjhyndman](https://github.com/robjhyndman)|[\#460](https://github.com/rstudio/rticles/pull/460)|`informs_article()`|
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|[ISBA: International Society for Bayesian Analysis](https://bayesian.org/)|[\@dmi3nko](https://github.com/dmi3kno)|[\#461](https://github.com/rstudio/rticles/pull/461)|`informs_article()`|
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|[JASA: Journal of the Acoustical Society of America](https://asa.scitation.org/journal/jas)|[\@stefanocoretta](https://github.com/stefanocoretta)|[\#364](https://github.com/rstudio/rticles/pull/364)|`jasa_article()`|
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|[Journal of Educational Data Mining](https://jedm.educationaldatamining.org/index.php/JEDM/about/submissions) journal submissions |[\@jooyoungseo](https://github.com/jooyoungseo)|[#251](https://github.com/rstudio/rticles/pull/251)|`jedm_article()`|
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|[JOSS: Journal of Open Source Software](https://joss.theoj.org/)[JOSE: Journal of Open Source Education](https://jose.theoj.org/)|[\@noamross](https://github.com/noamross)|[\#229](https://github.com/rstudio/rticles/pull/229)|`joss_article()`|
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