While using rebib with a LaTeX document, one can use the following two options as per their needs :

The bibliography converter will convert any LaTex or BBL file given as a path. This way, one can generate BibTeX from the embedded bibliography or BBL file.

The bibliography aggregator will append the existing BibTeX file with bibliographic entries extracted from the LaTeX or BBL file.

The Flow Chart here visualizes the sequence.```
#> Warning in dir.create(your_article_folder <- file.path(tempdir(),
#> "exampledir")): '/tmp/RtmpsrzBoI/exampledir' already exists
```

```
# Suppose you have a example.bib file in your article path
cat(readLines(paste(your_article_path,"example.bib",sep="/")),sep = "\n")
#> @book{ihaka:1996,
#> author = {{Ihaka, Ross and Gentleman, Robert}},
#> title = {{R: A Language for Data Analysis and Graphics}},
#> publisher = {Journal of Computational and Graphical Statistics 3: 299--314},
#> year = {1996},
#> url = {https://doi.org/10.1080/10618600.1996.10474713}
#> }
# for files with BibTeX source as well as embedded entries
rebib::aggregate_bibliography(xfun::normalize_path(your_article_path))
#> Found Bib file example.bib
#> bibliography aggregation possible
#> Found Bib file example.bib
#> aggregation delta : 2
#> BibTeX file aggregated
cat(readLines(paste(your_article_path,"example.bib",sep="/")),sep = "\n")
#> @book{ihaka:1996,
#> author = {{Ihaka, Ross and Gentleman, Robert}},
#> title = {{R: A Language for Data Analysis and Graphics}},
#> publisher = {Journal of Computational and Graphical Statistics 3: 299--314},
#> year = {1996},
#> url = {https://doi.org/10.1080/10618600.1996.10474713}
#> }
#> @book{R,
#> author = {R {Core Team}},
#> title = {{R: A Language and Environment for Statistical Computing}},
#> publisher = {R Foundation for Statistical Computing Vienna Austria :},
#> year = {2016},
#> url = {https://www.R-project.org/},
#> isbn = {3-900051-07-0}
#> }
#> @book{Tremblay:2012,
#> author = {A.~{Tremblay}},
#> title = {{LMERConvenienceFunctions: A suite of functions to back-fit fixed effects and forward-fit random effects, as well as other miscellaneous functions., }},
#> publisher = {R package version 1.6.8.2},
#> year = {2012},
#> url = {http://CRAN.R-project.org/package=LMERConvenienceFunctions}
#> }
```