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Releases: lshpaner/kfre

kfre 0.1.2_b4

04 May 15:12
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0.1.3_b4

updated version

kfre 0.1.2_b5

04 May 16:18
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kfre 0.1.2_b5 Pre-release
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kfre 0.1.2_b3

04 May 07:35
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  • placed logo on readme

kfre_0.1.2_b2

04 May 06:47
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kfre 0.1.2

02 May 00:37
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What's New in kfre 0.1.2

This release, kfre 0.1.2, marks a substantial update from the preliminary alpha versions, introducing significant enhancements and features that elevate the tool’s flexibility, accuracy, and ease of use:

  • Enhanced Core Functionality: A comprehensive overhaul from earlier minimal viable products to a more robust and feature-rich application.

  • New Calculator Function: The introduction of the kfre_person() function enables risk metrics calculations for individuals one at a time, customizing the analysis to each unique dataset.

  • Increased Flexibility: The add_kfre_risk_col() function now allows for direct execution of kfre without the need to instantiate a class, simplifying the process for users.

  • Model Variability: Users can specify models with 4, 6, or 8 variables through the add_kfre_risk_col() function, adapting to different data requirements.

  • Timeframe Options: The function now accommodates specification of projection years (2 or 5 years, or either), providing tailored risk assessments.

  • DataFrame Handling: An option to either copy the dataframe or modify it in place when adding kfre columns is now available, offering greater flexibility in data management.

  • Formula Correction: The formula for the 6-variable calculation has been updated with the correct coefficients from Tangri et al., enhancing prediction accuracy.

  • Conversion Tools: The new perform_conversions() function facilitates the conversion of relevant clinical metrics, streamlining data preparation for analysis.

This release reflects ongoing efforts to enhance and refine kfre, driven by feedback from users and continuous research into improving its utility and functionality.

Full Changelog: https://github.com/lshpaner/kfre/commits/0.1.2