ReliaLearnR 0.5

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.

ReliaLearnR 0.3.1

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.
  #21,
  #22,
  #23,
  #25,
  #41.
• New RAM vignette #32.

Minor Improvements and bug fixes

• Improved package documentation
  #20,
  #24,
  #26,
  #34,
  #35,
  #50,
  #51,
  #52,
  #50.
• Minor Improvements and bug fixes
  #27

ReliaLearnR 0.3

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.
  #21,
  #22,
  #23,
  #25,
  #41.
• New RAM vignette #32.

Minor Improvements and bug fixes

• Improved package documentation
  #20,
  #24,
  #26,
  #34,
  #35,
  #50,
  #51,
  #52,
  #50.
• Minor Improvements and bug fixes
  #27

WeibullR.learnr 0.2.1

Minor Improvements and bug fixes

• Minor Improvements and bug fixes

WeibullR.learnr 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

WeibullR.learnr v0.1.1

Initial release

• WeibullR.learnr module