gaussianize = TRUE as the default method.prepareTimeseries() Thanks again Georgy: issue 32
plotExcursionSliding(). Thanks Georgy issue 31
make_surrogate_data to SurrogateData
detectMultipleExcursions() to run the excursion detector across a suite of datasetsdetectExcursion() return a data.frame with NAs rather than errors to better support detectMultipleExcursions()
summarizeChangepointMeanChanges()
prepareInput()
time.range option for R >=4.2.0 sensitivity to multiple conditionals.time.range option to prepareInput() and detectShift() to optionally restrict the range of the analysis. Thanks to @AndreaLemur for the suggestion.gaussianize options to detectShiftCore(), with a default of TRUE, following @AndreaLemur recognition that that is a requirement for many of the methods in the changepoint package. More details on changepoint workshop here