NEWS

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vivainsights 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

vivainsights 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

vivainsights 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• Refactor superseded dplyr syntax to current best practices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

vivainsights 0.6.2 (2025-05-28)

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

vivainsights 0.6.1 (2025-05-12)

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

vivainsights 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.

vivainsights 0.5.5 (2024-11-19)

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

vivainsights 0.5.4 (2024-09-06)

Added new functionality to calculate Gini coefficient and Lorenz curve.

vivainsights 0.5.3 (2024-06-06)

Minor bug fixes and visual improvements.

vivainsights 0.5.2 (2024-03-14)

Minor bugfix on create_line().

vivainsights 0.5.1 (2024-01-10)

Minor changes to documentation on static report outputs.

vivainsights 0.5.0 (2023-11-09)

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

vivainsights 0.4.3 (2023-11-01)

• Updated datasets for g2g_data and p2p_data
• Improve test coverage

vivainsights 0.4.2 (2023-10-17)

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

vivainsights 0.4.1 (2023-08-25)

• Removed the DT dependency

vivainsights 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

vivainsights 0.3.1 (2023-05-22)

• Fixed bug in running validation report (#11)

vivainsights 0.3.0 (2023-03-30)

• Added new text analytics functions relating to the meeting query

vivainsights 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

vivainsights 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.