# 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.