Function reference • potomax

All functions

AIC(<poisGP>) BIC(<poisGP>) BIC(<poisGP>): Akaike's Information Criterion and Bayesian Information Criterion for a Poisson-GP Object

MLE(): Maximum-Likelihood Estimation

MLE(<poisGP>): Maximum-Likelihood Estimation of a Poisson-GP Model

RL(): Return Levels associated with Chosen Periods

RL(<poisGP>): Return Levels and Confidence Intervals for a Poisson-GP Model

RP(): Return Periods associated with Chosen Return Levels or Quantiles

RP(<potData>): Return Periods for a potData Object

as.potData(): Generic Coercion Function

as.potData(<Rendata>): Coerce a Rendata Object

autolayer(<potData>): Draw a ggplot Layer for a potData Object

autoplot(<RL.poisGP>): Autoplot Method for Return Levels

autoplot(<RL.poisGPList>): Autoplot Method for a List of Return Levels Tables

autoplot(<RLCheck.poisGP>): Autoplot Method for RLCheck.poisGP Objects

autoplot(<confintCheck.poisGP>): Autoplot Method for confintCheck.poisGP Objects

autoplot(<poisGP>): Autoplot Method for poisGP Objects

autoplot(<potData>): Build ggplot Graphics for a potData Object

coef(<poisGP>): Extract Model Coefficients for a Poisson-GP Object

confint(<poisGP>): Confidence Intervals for a poisGP Object

logLik(<poisGP>): Log-Likelihood of a Poisson-GP Object

poisGP(): Create a Poisson-GP Model Object

potData(): Structured Data Used to Define a Poisson-GP Model

potomax-package potomax: Peaks Over Threshold and/or Block Maxima

print(<poisGP>): Print Method for the Class "poisGP"

profLik(): Profile-Likelihood Inference Method

profLik(<default>): Profile-Likelihood Inference for Fitted Parametric Model Objects

scale(<potData>): Scale Method for the Class "potData"

threshData(): Select the Observations Over a Threshold within Heterogeneous Data provided as a potData object

vcov(<poisGP>): Variance-Covariance Matrix for a Poisson-GP Object