## ------------------------------------------------------------------------
library(exdex)
# Set a threshold at the 90% quantile
thresh <- quantile(newlyn, probs = 0.90)
# MLE, SE and 95% likelihood-based confidence interval
mle <- kgaps_mle(newlyn, thresh, conf = 95)
mle$theta_mle
mle$theta_se
mle$theta_ci
## ----fig.width = 5 , fig.height= 5---------------------------------------
library(exdex)
# Set a number for the minimum and the maximum quantile level
threshplot( newlyn, tmin = 40, tmax = 80)
## ----fig.width = 5 , fig.height= 5---------------------------------------
threshplot(newlyn, 50, 60,
# Change the confidence interval
conf = 50,
# Change the line type
lty = c(2, 1, 2),
# Change the colours of the lines
col = c(1, 5, 2),
# Change the label names for X and Y axes
xlab = "Any name",
ylab = "Any name",
# Change the type of plot
type = "p",
# Change the symbol used
pch = 19
)
## ------------------------------------------------------------------------
library(exdex)
# Decide on the block size and indicate whether to use sliding blocks or disjoint blocks
# MLE, SE and 95% likelihood-based confidence interval
spm_mle(newlyn, 20, sliding = FALSE, conf = 95)
mle$theta_mle
mle$theta_se
mle$theta_ci
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