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success 1.1.0
- Added references to published article in The R Journal
- Removed print statements from bernoulli_ARL_* functions
success 1.0.1
- Added bernoulli_ARL, bernoulli_RL_cdf functions which allow to
calculate ARL and RL distribution functions using 2 different approaches
- Some tests put into place so that these functions work as
expected
- Fixed figure display in README on CRAN
- Added some references
- funnel plot functions changed to display unit labels, as well as
prediction intervals by using shaded ribbons instead of lines.
- Added tests for most functions in the package
- Added CITATION file
success 1.0.0
- bernoulli_cusum() no longer re-calculates failure probability at
every time point. Major speed-up
- Added references to published articles in cgr_cusum() and
funnel_plot().
- Added baseline, cumulative and inverse cumulative Weibull hazards
(see ?haz_weib)
- Updated README file with references.
- Interactive plot now correctly displays downward CUSUM charts.
- Added Vignette describing the package.
success 0.1.1
- Added a
NEWS.md
file to track changes to the
package.
- Fixed lower CGR_CUSUM to calculate correct values
- Changed the way in which upper and lower BK- and CGR-CUSUMs are
visualised.
- Both charts now recalculate the highest and lowest value at failure
times, aiding interpretation of the charts, but increasing computation
time 2 fold for CGR-CUSUMs
- Reduced computation time of CGR-CUSUM approximately 4 fold (depends
on size of data) using Rfast package.
- Future: Rfast binary_search() is not optimal for this problem.
Either write an adjusted binary_search fitting for the problem manually
or look for other implementations.
- Created a hexagon for the package (can be found in /hexagon)
- Added
breast
data set based on real cancer trial.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.