Changelog
Source:NEWS.md
lite 1.1.0
CRAN release: 2023-01-26
New features
The new function
blite()performs Bayesian threshold-based inference for time series extremes. It is a Bayesian version of the existing functionflite(), which performs frequentist inference.Objects returned from
blite()have a predict S3 methodpredict.blite()based on thepredict.evpost()method from therevdbayespackage. It provides predictive inferences for the largest value observed in N years.Objects of class
flitereturned fromflite()now have aconfintmethod.
Bug fixes and minor improvements
In
flite(), the argumentskandinc_censwere not passed toexdex::kgaps(). This has been corrected.In the (unexported, internal) function
bingp_rl_CI()an error is triggered if the return level requested is lower than the threshold used to fit the model.In the (unexported, internal) function
bingp_rl_prof(), which calculates a confidence interval for a return level based on a profile log-likelihood, a check is made on the valuepto be passed torevdbayes::qgp()to check that it is in [0, 1].