CRAN Release 3

New CRAN submission. Includes changes as part of 1.0.2 and an improvement to the error handling around the sending and receiving of requests and response as per the CRAN policies.

BMRSr 1.0.3

• Added better error handling around the sending and parsing of requests as per CRAN policies
• Fixed issue where EOF files were showing warnings when being parsed because the EOF wasn't being removed.
• Added check of data item to ensure that the data item is present for the provided version
• Added automatic cleaning of all parameters passed to the build() functions
• Added rlang and purrr dependencies

BMRSr 1.0.1.9002

• Expanded changes from build_b_call() to other build functions
• Allowed for additional arbitrary parameters to the build calls (with warnings or without)

BMRSr 1.0.1.9001

• Changes to build_b_call() function
• Collect query parameters using list input_query
• Use httr::modify_url() to build query
• Changes to the API return values mean that the returned .csv files do not always have the same structure (#15).
  • This bred a change to the parser to be more dynamic and allow for the different structures.
  • This initial change has been made but further changes will need to be made to account for more file structures.

Second CRAN Release

Second CRAN submission.

Largely just bug fixes and one quality of life improvement to allow the automatic renaming of columns optional.

CRAN Version

First accepted CRAN version

BMRSr 1.0.0

• Minor changes to prepare for CRAN publication

Recent patch notes

• Added NEWS.md
• Included packages used in example in README.md in Suggests
• Updated documentation of included dataset to include description of every column
• Fixed versioning scheme
• Changed license to GPL (>= 2)
• Fixed column types in example dataset (previously as characters, now as date/datetime depending on column)
• Added a new utility function get_data_item_type() to return the data item type ("B Flow", "REMIT" or "Legacy") of a data item
• Added first vignette - Using_BMRSr - which describes an end-to-end process and gives an in-depth example of how to use the package.
• Implemented a try statement into the column cleaning function to no longer error and stop if column conversion fails