FASLR v0.0.7

Enhancements:

• Added a test suite
• Improved heatmap performance (#94 - thanks @odddkidout )
• Automated unit testing via GitHub Actions
• Automated documentation deployment via GitHub Actions
• Schema documentation page on the FASLR website
• Added development chatroom, on Gitter

FASLR v0.0.6

Enhancements:

• Created exhibits for development method
• Created exhibit builder

Blog Post:
https://genedan.com/no-151-faslr-exhibit-builder/

FASLR v0.0.5

Enhancements:

• Added tail factor analysis pane
• Tail factor pane supports the following methods:
  • Constant
  • Curve
  • Clark
  • Bondy

Blog post: https://genedan.com/no-150-faslr-tail-factor-analysis/

FASLR v0.0.4

Enhancements:

• Added a data pane class to display project data views
• Launched documentation website: https://faslr.com
• Normalized database schema
• Removed circular relationships from schema
• Created script to generate sample database, used for training and development

FASLR v0.0.3

Enhancements:

• Upgraded project from PyQt5 to PyQt6.
• Added data import wizard.

FASLR v0.0.2

Enhancements:

• Developed analysis tab pane to hold triangle data and diagnostics:
  • Each tab represents a line of business
  • Within each tab are subtabs for each triangle column (paid claims, incurred claims, etc.)
  • Ability to view by triangle column, the cumulative data, link ratios, and diagnostics, which can be toggled between using a combobox
• Added Mack diagnostic tests:
  • Valuation correlation test across all periods
  • Valuation correlation test for individual periods
  • Development correlation test

FASLR v0.0.1

New features added:

• Ultimate Loss Column calculated via the chain ladder technique
• Rows for selected LDFs and CDFs
• The ability to select LDFs by double-clicking averages
• Dialog box for creating and storing custom LDF average types
• Link ratio heatmap

FASLR v0.0.0

Initial release and first upload to PyPi.