A B C D E F G H I L M N P Q R S T U V W misc
| texmex-package | Conditional multivariate extreme values modelling. |
| addCov | Internal functions for texmex |
| AIC.gpd | Generalized Pareto distribution modelling |
| bgpdSetSeed | Set the seed from a fitted bgpd object. |
| bootExtremalIndex | Extremal index estimation and automatic declustering |
| bootgpd | Parametric bootstrap for generalized Pareto models |
| bootMCS | Multivariate conditional Spearman's rho |
| bootmex | Bootstrap a conditional multivariate extreme values model |
| chi | Measures of extremal dependence |
| coef.bgpd | Methods for texmex objects |
| coef.gpd | Generalized Pareto distribution modelling |
| coef.mex | Methods for texmex objects |
| coef.migpd | Methods for texmex objects |
| coefficients.bgpd | Methods for texmex objects |
| coefficients.gpd | Methods for texmex objects |
| coefficients.mex | Methods for texmex objects |
| coefficients.migpd | Methods for texmex objects |
| ConstraintsAreSatisfied | Internal functions for texmex |
| copula | Calculate the copula of a matrix of variables |
| Dcond | Internal functions for texmex |
| declust | Extremal index estimation and automatic declustering |
| declust.default | Extremal index estimation and automatic declustering |
| declust.extremalIndex | Extremal index estimation and automatic declustering |
| dgpd | Density, cumulative density, quantiles and random number generation for the generalized Pareto distribution |
| edf | Compute empirical distribution function |
| endPoint | Calculate upper end point for fitted GPD |
| endPoint.bgpd | Calculate upper end point for fitted GPD |
| endPoint.gpd | Calculate upper end point for fitted GPD |
| estimate_HT | Internal functions for texmex |
| estimate_HT_KPT_joint_posneg_nm | Internal functions for texmex |
| extremalIndex | Extremal index estimation and automatic declustering |
| extremalIndexRangeFit | Extremal index estimation and automatic declustering |
| fittedGPDscale | Internal functions for texmex |
| fittedGPDshape | Internal functions for texmex |
| gpd | Generalized Pareto distribution modelling |
| gpd.declustered | Extremal index estimation and automatic declustering |
| gpd.default | Generalized Pareto distribution modelling |
| gpdDelta | Internal functions for texmex |
| gpdFit | Internal functions for texmex |
| gpdRangeFit | Estimate generalized Pareto distribution parameters over a range of values |
| hist.gpd | Internal functions for texmex |
| info.gpd | Internal functions for texmex |
| initial_posneg | Internal functions for texmex |
| inv_Laplace | Internal functions for texmex |
| linearPredictors | Predict return levels from Generalized Pareto Distribution models, or obtain the linear predictors. |
| linearPredictors.bgpd | Predict return levels from Generalized Pareto Distribution models, or obtain the linear predictors. |
| linearPredictors.bootgpd | Predict return levels from Generalized Pareto Distribution models, or obtain the linear predictors. |
| linearPredictors.gpd | Predict return levels from Generalized Pareto Distribution models, or obtain the linear predictors. |
| liver | Liver related laboratory data |
| MCS | Multivariate conditional Spearman's rho |
| mex | Conditional multivariate extreme values modelling |
| mexDependence | Estimate the dependence parameters in a conditional multivariate extreme values model |
| mexRangeFit | Estimate dependence parameters in a conditional multivariate extreme values model over a range of thresholds. |
| mexTransform | Internal functions for texmex |
| migpd | Fit multiple independent generalized Pareto models |
| migpdCoefs | Change values of parameters in a migpd object |
| mrlPlot | Mean residual life plot |
| namesBoot2bgpd | Internal functions for texmex |
| pgpd | Density, cumulative density, quantiles and random number generation for the generalized Pareto distribution |
| plot.bgpd | Generalized Pareto distribution modelling |
| plot.bootgpd | Parametric bootstrap for generalized Pareto models |
| plot.bootMCS | Multivariate conditional Spearman's rho |
| plot.bootmex | Bootstrap a conditional multivariate extreme values model |
| plot.chi | Measures of extremal dependence |
| plot.copula | Calculate the copula of a matrix of variables |
| plot.declustered | Extremal index estimation and automatic declustering |
| plot.extremalIndex | Methods for texmex objects |
| plot.gpd | Generalized Pareto distribution modelling |
| plot.lp.bgpd | Predict return levels from Generalized Pareto Distribution models, or obtain the linear predictors. |
| plot.lp.bootgpd | Predict return levels from Generalized Pareto Distribution models, or obtain the linear predictors. |
| plot.lp.gpd | Predict return levels from Generalized Pareto Distribution models, or obtain the linear predictors. |
| plot.MCS | Multivariate conditional Spearman's rho |
| plot.mex | Conditional multivariate extreme values modelling |
| plot.migpd | Fit multiple independent generalized Pareto models |
| plot.predict.mex | Conditional multivariate extreme values modelling |
| plot.rl.bgpd | Return levels |
| plot.rl.bootgpd | Return levels |
| plot.rl.gpd | Return levels |
| plotrl.gpd | Internal functions for texmex |
| plotRLgpd | Internal functions for texmex |
| PosGumb.Laplace.negloglik | Internal functions for texmex |
| PosGumb.Laplace.negProfileLogLik | Internal functions for texmex |
| ppgpd | Internal functions for texmex |
| predict.bgpd | Predict return levels from Generalized Pareto Distribution models, or obtain the linear predictors. |
| predict.bootgpd | Predict return levels from Generalized Pareto Distribution models, or obtain the linear predictors. |
| predict.gpd | Predict return levels from Generalized Pareto Distribution models, or obtain the linear predictors. |
| predict.mex | Conditional multivariate extreme values modelling |
| print.bgpd | Generalized Pareto distribution modelling |
| print.bootgpd | Parametric bootstrap for generalized Pareto models |
| print.bootMCS | Methods for texmex objects |
| print.bootmex | Bootstrap a conditional multivariate extreme values model |
| print.chi | Methods for texmex objects |
| print.copula | Methods for texmex objects |
| print.declustered | Methods for texmex objects |
| print.extremalIndex | Methods for texmex objects |
| print.gpd | Generalized Pareto distribution modelling |
| print.lp.bgpd | Predict return levels from Generalized Pareto Distribution models, or obtain the linear predictors. |
| print.lp.bootgpd | Predict return levels from Generalized Pareto Distribution models, or obtain the linear predictors. |
| print.lp.gpd | Predict return levels from Generalized Pareto Distribution models, or obtain the linear predictors. |
| print.MCS | Methods for texmex objects |
| print.mex | Methods for texmex objects |
| print.mexDependence | Methods for texmex objects |
| print.migpd | Methods for texmex objects |
| print.predict.mex | Methods for texmex objects |
| print.rl.bgpd | Return levels |
| print.rl.bootgpd | Return levels |
| print.rl.gpd | Return levels |
| print.summary.bgpd | Methods for texmex objects |
| print.summary.bootgpd | Parametric bootstrap for generalized Pareto models |
| print.summary.gpd | Methods for texmex objects |
| print.summary.predict.mex | Methods for texmex objects |
| Profile_likelihood_cd_nm_joint_D_KT | Internal functions for texmex |
| Profile_likelihood_cd_nm_joint_D_KT_neg | Internal functions for texmex |
| Profile_likelihood_HT_unc | Internal functions for texmex |
| profile_minmax_joint_posneg_KT | Internal functions for texmex |
| qgpd | Density, cumulative density, quantiles and random number generation for the generalized Pareto distribution |
| qgpd2 | Internal functions for texmex |
| qqgpd | Internal functions for texmex |
| rain | Rain and wavesurge datasets. |
| revTransform | Internal functions for texmex |
| rFrechet | Internal functions for texmex |
| rgpd | Density, cumulative density, quantiles and random number generation for the generalized Pareto distribution |
| rl | Return levels |
| rl.bgpd | Return levels |
| rl.bootgpd | Return levels |
| rl.gpd | Return levels |
| rMaxAR | Internal functions for texmex |
| roots | Internal functions for texmex |
| show.bootgpd | Parametric bootstrap for generalized Pareto models |
| show.bootMCS | Methods for texmex objects |
| show.bootmex | Bootstrap a conditional multivariate extreme values model |
| show.copula | Methods for texmex objects |
| show.declustered | Methods for texmex objects |
| show.extremalIndex | Methods for texmex objects |
| show.gpd | Generalized Pareto distribution modelling |
| show.MCS | Methods for texmex objects |
| show.mex | Methods for texmex objects |
| show.mexDependence | Methods for texmex objects |
| show.migpd | Methods for texmex objects |
| show.predict.mex | Methods for texmex objects |
| show.summary.bgpd | Methods for texmex objects |
| show.summary.bootgpd | Parametric bootstrap for generalized Pareto models |
| show.summary.gpd | Methods for texmex objects |
| show.summary.predict.mex | Methods for texmex objects |
| summary.bgpd | Methods for texmex objects |
| summary.bootgpd | Parametric bootstrap for generalized Pareto models |
| summary.bootMCS | Multivariate conditional Spearman's rho |
| summary.chi | Measures of extremal dependence |
| summary.copula | Methods for texmex objects |
| summary.gpd | Generalized Pareto distribution modelling |
| summary.lp.bgpd | Predict return levels from Generalized Pareto Distribution models, or obtain the linear predictors. |
| summary.lp.bootgpd | Predict return levels from Generalized Pareto Distribution models, or obtain the linear predictors. |
| summary.lp.gpd | Predict return levels from Generalized Pareto Distribution models, or obtain the linear predictors. |
| summary.MCS | Methods for texmex objects |
| summary.mex | Methods for texmex objects |
| summary.migpd | Methods for texmex objects |
| summary.predict.mex | Conditional multivariate extreme values modelling |
| summary.rl.bgpd | Return levels |
| summary.rl.bootgpd | Return levels |
| summary.rl.gpd | Return levels |
| summer | Air pollution data, separately for summer and winter months |
| test.bootgpd | Validate the texmex package |
| test.bootmex | Validate the texmex package |
| test.chi | Validate the texmex package |
| test.closures | Internal functions for texmex |
| test.copula | Validate the texmex package |
| test.dgpd | Validate the texmex package |
| test.endPoint | Validate the texmex package |
| test.extremalIndex | Validate the texmex package |
| test.gpd | Validate the texmex package |
| test.gpdRangeFit | Validate the texmex package |
| test.info.gpd | Validate the texmex package |
| test.MCS | Validate the texmex package |
| test.mex | Validate the texmex package |
| test.mexDependence | Validate the texmex package |
| test.mexRangeFit | Validate the texmex package |
| test.migpd | Validate the texmex package |
| test.migpdCoefs | Validate the texmex package |
| test.mrlPlot | Validate the texmex package |
| test.pgpd | Validate the texmex package |
| test.plot.bootmex | Validate the texmex package |
| test.plot.chi | Validate the texmex package |
| test.plot.gpd | Validate the texmex package |
| test.plot.lp.gpd | Validate the texmex package |
| test.plot.mex | Validate the texmex package |
| test.plot.mexDependence | Validate the texmex package |
| test.plot.migpd | Validate the texmex package |
| test.plot.predict.mex | Validate the texmex package |
| test.plotrl.gpd | Validate the texmex package |
| test.predict.bgpd | Validate the texmex package |
| test.predict.bootgpd | Validate the texmex package |
| test.predict.gpd | Validate the texmex package |
| test.predict.mex | Validate the texmex package |
| test.qgpd | Validate the texmex package |
| test.revTransform | Validate the texmex package |
| test.rgpd | Validate the texmex package |
| test.thinAndBurn.bgpd | Validate the texmex package |
| texmex | Conditional multivariate extreme values modelling. |
| thinAndBurn | Process Metropolis output from GPD fitting to discard unwanted observations. |
| thinAndBurn.bgpd | Process Metropolis output from GPD fitting to discard unwanted observations. |
| u2gpd | Internal functions for texmex |
| validate.texmex | Validate the texmex package |
| wavesurge | Rain and wavesurge datasets. |
| winter | Air pollution data, separately for summer and winter months |
| .extRemes.decluster.intervals | Internal functions for texmex |
| .extRemes.decluster.runs | Internal functions for texmex |
| .extRemes.exi.intervals | Internal functions for texmex |