Changes in version 0.4.4                        

  - add fun bib2bib, get_abbrtable, get_delcolumns
  - add fun cites_* and single_cites_*
  - add fun tex_funs
  - simplify shiny app
  - remove tidytable package
  - remove fun replace_field_author and replace_field_journal , add
    replace_field
  - remove fun abbr_bib and abbr_bib_only_journal
  - remove fun add_abbrtable

                 Changes in version 0.4.3 (2024-02-21)                  

  - Change tidytable::enframe.() to tidytable::enframe()

  - Delete folder ./metadata and retrieve it from repository
    https://github.com/zoushucai/journalmerge instead

  - Update rda, run: wget
    https://github.com/zoushucai/journalmerge/raw/main/R/sysdata.rda -O
    ./R/sysdata.rda

  - Delete roxytest and badger package

  - Suggest R version>=4.3.2

  - Update the branch from master to main.

                        Changes in version 0.4.2                        

The built-in dataset was updated, the journal abbreviations for this
site were added, and the highest weights were set.

                        Changes in version 0.4.1                        

update news.md and DESCRIPTION

                 Changes in version 0.4.0 (2022-08-09)                  

The underlying data has been reconstructed. Now, the data.table format
is adopted.

  - Use usethis and lintr package to build the R package
  - Add NEWS.md, cran-comments.md
  - Add shiny: journalabbr::run_example()
  - Two main functions: abbr_bib() and abbr_bib_only_journal(), the
    other functions are auxiliary functions.

                 Changes in version 0.3.1 (2022-04-23)                  

  - allow user to supply custom journal abbreviations, use parameter
    addcsvpath in function abbr2bib().
  - add function: rbind_bib() merges multiple BiB data frames, which are
    returned by read_bib2tib()
  - add function: rbindbib merges multiple Bib data frames, which are
    returned by .
  - add a function: unique_bib() to remove duplicate tibble. Often, the
    bib file should ensure that the key is unique. When there is a
    duplicate, you should change the duplicate key or delete the
    duplicate item. Here we use the latter to delete the duplicate.
    Repeat and filter according to the keybib column
  - add function: read_bib2tib() and write_tib2bib()
  - main function: abbr2bib()
  - add shiny: journalabbr::runExample()