Changes in version 0.5 (2026-05-27)                   

New Features

  - New rbd() tutorial covering Reliability Block Diagrams and system
    reliability, including series, parallel, mixed, and k-out-of-n
    configurations, system MTTF calculation, and an introduction to
    Fault Tree Analysis — with 4 code exercises and 12 quiz questions.
  - New rs() tutorial covering Repairable Systems Analysis, including
    Non-Homogeneous Poisson Process (NHPP) modeling, Mean Cumulative
    Function (MCF) estimation, and failure prediction.
  - Added a companion book to supplement the interactive tutorials.

Improvements

  - All tutorials deepened with more exercises and quiz questions:
      - RAM: Added an interactive failure rate (λ) slider, a Weibull
        bridge section, and 3 new exercises on series/parallel system
        reliability.
      - LDA: Added an Anderson-Darling goodness-of-fit section with 2
        quiz questions and a model comparison exercise; 2 additional
        code exercises.
      - RS: Added 3 code exercises covering NHPP fitting, MCF plotting,
        and failure prediction.
      - RT: Added 3 code exercises covering Duane plotting, RGA, and the
        Arrhenius acceleration factor.
  - NHPP tutorial updated to a MCF-first workflow for a more intuitive
    learning progression.
  - Added DiagrammeR-based visual diagrams to the RBD tutorial.

                  Changes in version 0.3 (2026-01-06)                   

Breaking Changes

  - The package has been renamed from WeibullR.learnr to ReliaLearnR to
    better reflect its broader focus on reliability engineering topics
    beyond just Weibull analysis.
  - All functions and tutorials have been updated to use the new package
    name ReliaLearnR.
  - The WeibullR.learnr() function has been renamed to lda() to simplify
    its usage.
  - The TestR.learnr() function has been renamed to rt() to simplify its
    usage.
  - The RAMR.learnr() function has been renamed to ram() to simplify its
    usage.
  - All references to WeibullR.learnr in documentation and vignettes
    have been updated to ReliaLearnR.

Other Improvements

  - Better (and more) examples and exercises in all tutorials. Improved
    comments and explanations.
    https://github.com/paulgovan/ReliaLearnR/issues/21,
    https://github.com/paulgovan/ReliaLearnR/issues/22,
    https://github.com/paulgovan/ReliaLearnR/issues/23,
    https://github.com/paulgovan/ReliaLearnR/issues/25,
    https://github.com/paulgovan/ReliaLearnR/issues/41.
  - New RAM vignette https://github.com/paulgovan/ReliaLearnR/issues/32.

Minor Improvements and bug fixes

  - Improved package documentation
    https://github.com/paulgovan/ReliaLearnR/issues/20,
    https://github.com/paulgovan/ReliaLearnR/issues/24,
    https://github.com/paulgovan/ReliaLearnR/issues/26,
    https://github.com/paulgovan/ReliaLearnR/issues/34,
    https://github.com/paulgovan/ReliaLearnR/issues/35,
    https://github.com/paulgovan/ReliaLearnR/issues/50,
    https://github.com/paulgovan/ReliaLearnR/issues/51,
    https://github.com/paulgovan/ReliaLearnR/issues/52,
    https://github.com/paulgovan/ReliaLearnR/issues/50.
  - Minor Improvements and bug fixes
    https://github.com/paulgovan/ReliaLearnR/issues/27

                         Changes in version 0.2                         

  - Now with a new Reliability Testing tutorial called TestR.learnr()
    that covers Reliability Growth Analysis (RGA) and Accelerated Life
    Testing (ALT)
  - Other minor improvements and bug fixes
    https://github.com/paulgovan/ReliaLearnR/issues/37.

                        Changes in version 0.1.3                        

Minor Improvements and bug fixes

  - Update contact info
  - Update citation

                        Changes in version 0.1.2                        

Initial release

  - Weibullr.learnr function