Package index • lax

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