Changes in version 2025-06-20                      

update dependency madshapR

Due to update in madshapR package, the name columns internally used in
banff_launcher() have been changed. The rest of the functions are not
affected.

                 Changes in version 2.0.0 (2025-07-05)                  

Implementation of the new parameter ‘version’ which allows the user to
select a version of the Banff classification. At the moment of the
development, the available versions are 2017 and 2022. The latest
version (2022) is the default. The new version includes two new
variables in the data dictionary (xm and abo_i) and 4 new diagnostics
codes for diag_code_2.

Bug fixes and improvements

  - calculate_adequacy() There was an error adressing the proper order
    of participants, giving occasionally wrong calculation of the
    adequacy. This has been fixed, using an index to ensure identical
    order in the output.

                        Changes in version 1.0.1                        

Error in document. There was a typo in banff_example.xlsx name. Only
Read me and vignette were affected.

                 Changes in version 1.0.0 (2024-05-08)                  

The banffIT package provides functions to assign standardized diagnoses
using the Banff Classification (Category 1 to 6 diagnoses, including
Acute and Chronic active T-cell mediated rejection as well as Active,
Chronic active, and Chronic antibody mediated rejection). The main
function banff_launcher()considers a minimal dataset containing biopsies
information in a specific format (described by a data dictionary),
verifies its content and format (based on the data dictionary), assigns
diagnoses, and creates a summary report.

Main functionality

  - banff_launcher() This function takes a path string identifying the
    input file path. The function internally runs a series of tests that
    assess the input dataset. If any of these tests fails, the user gets
    information allowing them to correct the input dataset and rerun the
    process. Once all tests pass, the dataset is given as an output with
    a diagnosis for each observation (using the function add_diagnoses()
    internally). The output dataset, along with its associated labels
    (“label:en” by default) are provided to the user in an Excel
    format file accessible in the output_folder specified. The output
    dataset comes with a report that summarizes information about
    variable distributions and descriptive statistics.

Additional functions (used in the main function, but can be used separately)

  - banff_dataset_evaluate() This function takes a dataset and evaluates
    its format and content based on the accepted format specified in the
    data dictionary.

  - calculate_adequacy() A tibble object with two variables: the
    calculated adequacy (adequacy_calculated) and the adequacy specified
    in input (adequacy_input).

  - add_diagnoses() This function takes a dataset and returns a
    diagnosis for each observation. For the function to run, the dataset
    must not contain any errors that banff_launcher()would have
    detected. Please prefer using banff_launcher() to run additional
    tests.

Helper functions

  - get_banff_dictionary(), get_banff_example(), get_banff_template()
    This function gets the data dictionary used to control the
    consistency of the input dataset, a example dataset and a template.

  - function banffIT_website() This function sends the user to the
    online documentation for the package, which includes a description
    of the latest version of the package, vignettes, user guides, and a
    reference list of functions and help pages.

Imported functions from madshapR

  - dataset_cat_as_labels()

  - dataset_summarize()