NEWS.md

In lite: Likelihood-Based Inference for Time Series Extremes

lite 1.1.1

Bug fixes and minor improvements

• Fixed 2 \link{} targets with missing (exdex) package anchors in Rd files for blite() and flite()

lite 1.1.0

New features

• The new function blite() performs Bayesian threshold-based inference for time series extremes. It is a Bayesian version of the existing function flite(), which performs frequentist inference.

• Objects returned from blite() have a predict S3 method predict.blite() based on the predict.evpost() method from the revdbayespackage. It provides predictive inferences for the largest value observed in N years.

• Objects of class flite returned from flite() now have a confint method.

Bug fixes and minor improvements

• In flite(), the arguments k and inc_cens were not passed to exdex::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 value p to be passed to revdbayes::qgp() to check that it is in [0, 1].

lite documentation built on Sept. 11, 2024, 6:27 p.m.