Changes in version 0.7.2 (2026-04-28)                  

  - Added identify_retention() for calculating the retention rate of
    individuals between two time periods based on a category condition
  - Enhanced documentation for clearer function usage and discovery for
    agents and users
  - Improved diagnostic messages for extract_hr()
  - Improved documentation for mingroup in vignette and README

                 Changes in version 0.7.1 (2026-01-16)                  

  - Bug fix to identify_usage_segments(): Fixed incorrect n count in
    table output to use distinct PersonIds instead of row count
  - Improvement to identify_usage_segments(): Reordered table output
    columns to follow logical segment progression (Non-user, Low User,
    Novice User, Habitual User, Power User)
  - Aesthetic improvements to create_rogers()
  - Added create_radar() and create_radar_viz() for spider/radar chart
    visualisation, with support for flexible indexing modes (total,
    ref_group, minmax, none), privacy filtering, and group comparisons
  - Added create_survival(), create_survival_prep(),
    create_survival_calc(), and create_survival_viz() for Kaplan–Meier
    survival (time-to-adoption) curve analysis, supporting flexible
    event definitions and group comparisons
  - Bumped minimum R version to 4.1.0 (required for native pipe-style
    lambda syntax \(x) used in create_radar())
  - Added warning message to identify_usage_segments() when NA values
    are detected in the metric variable

                 Changes in version 0.7.0 (2025-07-24)                  

  - Added create_rogers() function for analyzing technology adoption
    patterns using Rogers adoption curve theory
  - Feature improvements to create_hist(), create_density(),
    identify_usage_segments(), create_line()
  - Refactor superseded dplyr syntax to current best practices
  - Optimized dependencies using base R functions where appropriate

                 Changes in version 0.6.2 (2025-05-28)                  

  - Minor bug fixes to validation_report()
  - Clearer diagnostic messages to identify_*() family of functions

                 Changes in version 0.6.1 (2025-05-12)                  

  - Added identify_usage_segments() for classifying usage segments.
  - Added create_itsa() for performing interrupted time-series analysis.

                 Changes in version 0.6.0 (2025-02-20)                  

  - Add identify_habits() for classifying habitual behavior.
  - Refactored code to latest dplyr and tidyselect practices.
  - Updated metrics in pq_data to include Copilot metrics.

                 Changes in version 0.5.5 (2024-11-19)                  

  - Add new functionality on calculating Chatterjee's coefficient
  - Improved test coverage

                 Changes in version 0.5.4 (2024-09-06)                  

Added new functionality to calculate Gini coefficient and Lorenz curve.

                 Changes in version 0.5.3 (2024-06-06)                  

Minor bug fixes and visual improvements.

                 Changes in version 0.5.2 (2024-03-14)                  

Minor bugfix on create_line().

                 Changes in version 0.5.1 (2024-01-10)                  

Minor changes to documentation on static report outputs.

                 Changes in version 0.5.0 (2023-11-09)                  

Added new functionality to calculate information value: create_IV() and
IV_report()

                 Changes in version 0.4.3 (2023-11-01)                  

  - Updated datasets for g2g_data and p2p_data
  - Improve test coverage

                 Changes in version 0.4.2 (2023-10-17)                  

  - Improved versatility to identify_query()
  - Added any_idate()
  - Bug fixes

                 Changes in version 0.4.1 (2023-08-25)                  

  - Removed the DT dependency

                 Changes in version 0.4.0 (2023-08-16)                  

Added new functionality for organizational network analysis (ONA):

  - Introduced p2p_data and g2g_data sample datasets, with an option to
    simulate a person-to-person dataset using p2p_data_sim()
  - Added network_g2g(), network_p2p(), network_summary(), and
    create_sankey() functions
  - network_p2p() now has a centrality argument for computing and
    visualizing centrality as node sizes in the network plot
  - For network_p2p():
      - the algorithm argument is renamed to layout for better
        intuitiveness
      - Improved consistency and intuitiveness of the API, with style
        argument now controlling the network plotting mechanism and
        return argument controlling whether plots are generated
        interactively or saved as PDF
      - Added a large number of community detection algorithms from
        igraph

                 Changes in version 0.3.1 (2023-05-22)                  

  - Fixed bug in running validation report (#11)

                 Changes in version 0.3.0 (2023-03-30)                  

  - Added new text analytics functions relating to the meeting query

                 Changes in version 0.2.0 (2023-01-17)                  

  - colour contrast improved for create_dist() family functions
  - added data validation family of functions, including
    validation_report()
  - adds 'wpa' as a package dependency

                 Changes in version 0.1.0 (2022-10-04)                  

This is the first version of the vivainsights package to be released
open-source on GitHub and CRAN. This is based on the original wpa
library, with functions and documentation updated to reflect the latest
features in Viva Insights.