Changes in version 0.3.0.9000                      

                 Changes in version 0.3.0 (2025-08-25)                  

Minor improvements

  - Add a period after each author contribution to improve clarity.
  - Small correction to roles get to align with NISO taxonomy.

                 Changes in version 0.2.0 (2023-04-13)                  

Breaking changes

  - Package name changed to CRediTas (#1)
  - All function renamed to follow object_verb() convention. (#4)
      - create_template is template_create
      - read_template is template_read
      - write_cras is cras_write
  - file argument in cras_write and in template_create no longer default
    to NULL, they are not provided by default. If missing, they behave
    like the old NULL value.

New features

  - cras_write integrates better with literate programming such as
    rmarkdown and quarto. When file is NULL (new default), instead of
    writing a file, the function returns a string with the CRediT Author
    Statement. It works well with inline code in rmarkdown and quarto
    documents: r cras_write(cras_table, markdown = TRUE) (#2
  - cras_write includes a new argument drop_authors, if set to FALSE,
    the authors without contributions are not removed from the
    statement. (#6)

Minor improvements and fixes

  - The roles are created using the function roles_get() instead of hard
    coded. (#3)
  - The former allows to check if authors’ roles are up-to-date
    comparing with [CRediT] (https://credit.niso.org/) (#3)
  - Improvements on the documentation of all functions (#6)
  - In cras_write, the default of markdown argument is TRUE.
  - Added some checks to template_read to ensure that the format is
    correct. (#6)
  - Added reviewers of ROpenScience to DESCRIPTION.
  - CSS fixed in pkgdown.
  - Description added to template_create documentation.
  - Option to use fix() to edit the template is added to README and
    get_started vignette.
  - Related packages added to README.
  - template_create is more performant thanks to using matrix instead of
    data.frame to create the empty contributions.