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blite()
and flite()
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
revdbayes
package. It provides predictive inferences for the
largest value observed in N years.
Objects of class flite
returned from
flite()
now have a confint
method.
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].
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.
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