Reference

Package
lax lax-package	lax: Loglikelihood Adjustment for Extreme Value Models
Loglikelihood adjustment
alogLik()	Loglikelihood adjustment for model fits
alogLik(<gevrFit>) alogLik(<gpdFit>)	Loglikelihood adjustment for eva fits
alogLik(<evd>)	Loglikelihood adjustment for evd fits
alogLik(<gev>) alogLik(<gpd>) alogLik(<potd>)	Loglikelihood adjustment for evir fits
alogLik(<fevd>)	Loglikelihood adjustment for extRemes fits
alogLik(<fGEVFIT>) alogLik(<fGPDFIT>)	Loglikelihood adjustment for fExtremes fits
alogLik(<gev.fit>) alogLik(<pp.fit>) alogLik(<gpd.fit>) alogLik(<rlarg.fit>)	Loglikelihood adjustment for ismev fits
alogLik(<mev_gev>) alogLik(<mev_pp>) alogLik(<mev_gpd>) alogLik(<mev_egp>) alogLik(<mev_rlarg>)	Loglikelihood adjustment for mev fits
alogLik(<uvpot>)	Loglikelihood adjustment for POT fits
alogLik(<evmOpt>)	Loglikelihood adjustment of texmex fits
Refitting models
gev_refit() gpd_refit() pp_refit() rlarg_refit()	Maximum-likelihood (Re-)Fitting using the ismev package
pot_refit()	Fits a Poisson point process to the data, an approach sometimes known as peaks over thresholds (POT), and returns an object of class "potd".
Statistical inference
anova(<lax>)	Comparison of nested models
fit_bernoulli() logLikVec(<bernoulli>) nobs(<bernoulli>) coef(<bernoulli>) vcov(<bernoulli>) logLik(<bernoulli>) alogLik(<bernoulli>)	Inference for the Bernoulli distribution
return_level()	Return Level Inferences for Stationary Extreme Value Models
plot(<retlev>)	Plot diagnostics for a retlev object
print(<retlev>)	Print method for retlev object
summary(<retlev>)	Summary method for a "retlev" object
print(<summary.retlev>)	Print method for objects of class "summary.retlev"
Example data
ow	Oxford and Worthing annual maximum temperatures
Generics
logLikVec()	Evaluate loglikelihood contributions from specific observations
logLik(<logLikVec>)	Sum loglikelihood contributions from individual observations