A B C D E G H L M P Q R S T U V W
texmex-package | Conditional multivariate extreme values modelling. |
AIC.gpd | Generalized Pareto distribution modelling |
bgpdSetSeed | Set the seed from a fited \code{bgpd} object. |
bootMCS | Multivariate conditional Spearman's rho |
bootmex | Bootstrap a conditional multivariate extreme values model |
chi | Measures of extremal dependence |
coef.bgpd | Generalized Pareto distribution modelling |
coef.gpd | Generalized Pareto distribution modelling |
coef.mex | Conditional multivariate extreme values modelling |
coef.migpd | Fit multiple independent generalized Pareto models |
coefficients.bgpd | Generalized Pareto distribution modelling |
coefficients.gpd | Generalized Pareto distribution modelling |
coefficients.mex | Conditional multivariate extreme values modelling |
coefficients.migpd | Fit multiple independent generalized Pareto models |
copula | Get the copula of a matrix of variables |
dgpd | Density, cumulative density, quantiles and random number generation for the generalized Pareto distribution |
edf | Computje empirical distributino function |
gpd | Generalized Pareto distribution modelling |
gpd.fit | Internal functions for \code{texmex} |
gpdRangeFit | Estimate generalized Pareto distribution parameters over a range of values |
hist.gpd | Internal functions for \code{texmex} |
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 |
mexGumbel | Internal functions for \code{texmex} |
mexRangeFit | Estimate dependence parameters in a conditional multivariate extreme values model over a range of thresholds. |
migpd | Fit multiple independent generalized Pareto models |
migpdCoefs | Change values of parameters in a migpd object |
mrlPlot | Mean residual life plot |
pgpd | Density, cumulative density, quantiles and random number generation for the generalized Pareto distribution |
plot.bgpd | Generalized Pareto distribution modelling |
plot.bootMCS | Multivariate conditional Spearman's rho |
plot.bootmex | Bootstrap a conditional multivariate extreme values model |
plot.chi | Measures of extremal dependence |
plot.copula | Get the copula of a matrix of variables |
plot.gpd | Generalized Pareto distribution modelling |
plot.MCS | Multivariate conditional Spearman's rho |
plot.mex | Conditional multivariate extreme values modelling |
plot.mexDependence | Estimate the dependence parameters in a conditional multivariate extreme values model |
plot.predict.mex | Conditional multivariate extreme values modelling |
ppgpd | Internal functions for \code{texmex} |
predict.mex | Conditional multivariate extreme values modelling |
print.bgpd | Generalized Pareto distribution modelling |
print.bootMCS | Multivariate conditional Spearman's rho |
print.bootmex | Bootstrap a conditional multivariate extreme values model |
print.chi | Measures of extremal dependence |
print.copula | Get the copula of a matrix of variables |
print.gpd | Generalized Pareto distribution modelling |
print.MCS | Multivariate conditional Spearman's rho |
print.mex | Conditional multivariate extreme values modelling |
print.mexDependence | Estimate the dependence parameters in a conditional multivariate extreme values model |
print.migpd | Fit multiple independent generalized Pareto models |
print.predict.mex | Conditional multivariate extreme values modelling |
print.summary.bgpd | Generalized Pareto distribution modelling |
print.summary.gpd | Generalized Pareto distribution modelling |
print.summary.predict.mex | Conditional multivariate extreme values modelling |
qgpd | Density, cumulative density, quantiles and random number generation for the generalized Pareto distribution |
qgpd2 | Density, cumulative density, quantiles and random number generation for the generalized Pareto distribution |
qqgpd | Internal functions for \code{texmex} |
rain | Rain and wavesurge datasets. |
revGumbel | Internal functions for \code{texmex} |
rgpd | Density, cumulative density, quantiles and random number generation for the generalized Pareto distribution |
rl.gpd | Internal functions for \code{texmex} |
show.bootMCS | Multivariate conditional Spearman's rho |
show.bootmex | Bootstrap a conditional multivariate extreme values model |
show.copula | Get the copula of a matrix of variables |
show.gpd | Generalized Pareto distribution modelling |
show.MCS | Multivariate conditional Spearman's rho |
show.mex | Conditional multivariate extreme values modelling |
show.mexDependence | Estimate the dependence parameters in a conditional multivariate extreme values model |
show.migpd | Fit multiple independent generalized Pareto models |
show.predict.mex | Conditional multivariate extreme values modelling |
show.summary.gpd | Generalized Pareto distribution modelling |
show.summary.predict.mex | Conditional multivariate extreme values modelling |
summary.bgpd | Generalized Pareto distribution modelling |
summary.bootMCS | Multivariate conditional Spearman's rho |
summary.chi | Measures of extremal dependence |
summary.copula | Get the copula of a matrix of variables |
summary.gpd | Generalized Pareto distribution modelling |
summary.MCS | Multivariate conditional Spearman's rho |
summary.mex | Conditional multivariate extreme values modelling |
summary.migpd | Fit multiple independent generalized Pareto models |
summary.predict.mex | Conditional multivariate extreme values modelling |
summer | Air pollution data, summer months. |
test.bootmex | Validate the texmex package |
test.chi | Validate the texmex package |
test.copula | Validate the texmex package |
test.dgpd | Validate the texmex package |
test.gpd | Validate the texmex package |
test.gpdRangeFit | 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.mexDependence | Validate the texmex package |
test.plot.predict.mex | Validate the texmex package |
test.predict.mex | Validate the texmex package |
test.qgpd | 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 \code{texmex} |
validate.texmex | Validate the texmex package |
wavesurge | Rain and wavesurge datasets. |
winter | Air pollution data, winter months. |