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.
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
Minor Improvements and bug
fixes
WeibullR.learnr 0.2
WeibullR.learnr 0.1.3
Minor Improvements and bug
fixes
- Update contact info
- Update citation
WeibullR.learnr 0.1.2
Initial release