Function reference • lite

Package
`lite-package` `_PACKAGE`	lite: Likelihood-Based Inference for Time Series Extremes
Model fitting
`blite()`	Bayesian threshold-based inference for time series extremes
`flite()`	Frequentist threshold-based inference for time series extremes
`fitGP()` `coef(<GP>)` `vcov(<GP>)` `nobs(<GP>)` `logLik(<GP>)` `gpObsInfo()`	Frequentist inference for the generalised Pareto distribution
`fitBernoulli()` `coef(<Bernoulli>)` `vcov(<Bernoulli>)` `nobs(<Bernoulli>)` `logLik(<Bernoulli>)`	Frequentist inference for the Bernoulli distribution
Extreme value inferences
`predict(<blite>)`	Predictive inference for the largest value observed in \(N\) years.
`returnLevel()`	Frequentist threshold-based inference for return levels
Generics
`plot(<blite>)` `coef(<blite>)` `vcov(<blite>)` `nobs(<blite>)` `summary(<blite>)` `print(<summary.blite>)` `confint(<blite>)`	Methods for objects of class `"blite"`
`plot(<flite>)` `coef(<flite>)` `vcov(<flite>)` `nobs(<flite>)` `logLik(<flite>)` `summary(<flite>)` `print(<summary.flite>)` `confint(<flite>)`	Methods for objects of class `"flite"`
`plot(<returnLevel>)` `print(<returnLevel>)` `summary(<returnLevel>)` `print(<summary.returnLevel>)`	Methods for objects of class `"returnLevel"`
Log-likelihood adjustment
`estfun(<Bernoulli>)` `estfun(<GP>)`	Functions for the `estfun` method
`logLikVector()` `logLik(<logLikVector>)`	Functions for log-likelihood contributions

Reference