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data(HsSP)
data(drc)
timeRange <- 54.5
idx <- order(drc)
drc <- drc[idx]
Data <- HsSP[idx]
set.seed(1234)
Data <- Data + runif(length(Data), -0.0001, 0.0001)
Grid values at which the estimation is performed:
thrResultMom <- ThrSelection(Data = Data, drc = drc, h = 60, b = 0.35, thetaGrid = thetaVec,
EVIestimator = "Mom", useKernel = T, concent = 10, bw = 30, numCores = 2)$thr
h <- 60
useKernel <- TRUE
concent <- 10
movThr <- TRUE
nBoot <- 30
set.seed(1234)
output <- LocalEstim(Data = Data, drc = drc, thr = thrResultMom, thetaGrid = thetaVec,
nBoot = nBoot, EVIestimator = "Mom", h = h, useKernel = useKernel, concent = concent,
movThr = movThr, TTs = c(100, 10000), timeRange = timeRange)
RLBoot <- output$RLBoot
PlotParamEstim(bootEstimates = output$xiBoot, thetaGrid = thetaVec, ylab = bquote(hat(xi)),
alpha = 0.05, ylim = NULL, cex.axis = 15, cex.lab = 2, thrWidth = 2)
PlotParamEstim(bootEstimates = output$sigBoot, thetaGrid = thetaVec, ylab = bquote(hat(sigma)),
alpha = 0.05, ylim = NULL, cex.axis = 15, cex.lab = 2, thrWidth = 2)
# 100-year level
PlotRL(RLBootList = RLBoot, thetaGrid = thetaVec, Data = Data, drc = drc, TTs = c(100,
10000), whichPlot = 1, alpha = 0.05, ylim = NULL, pointSize = 1, cex.axis = 15,
cex.lab = 2, thrWidth = 2)
PolarPlotRL(RLBootList = RLBoot, thetaGrid = thetaVec, Data = Data, drc = drc,
TTs = c(100, 10000), whichPlot = 1, alpha = 0.05, ylim = NULL, pointSize = 4,
fontSize = 12, lineWidth = 2)
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They may not be fully stable and should be used with caution. We make no claims about them.