Description Usage Arguments Details Value Examples
For a range of thresholds, return the parameters of the Mittag-Leffler distribution fitted to the threshold exceedance times.
1 2 3 4 5 6 7 |
ctre |
A |
plot_me |
Should the estimates be plotted? |
tail |
Tail parameter of the Mittag-Leffler distribution, if known. Appears as a dashed line in the plot of the tail parameter estimates, and transforms the scale parameter estimates. If not known, scale parameter estimates are untransformed (tail is set to 1). |
scale |
Scale parameter of the Mittag-Leffler distribution, if known. Appears as a dashed line in the plot of scale parameter estimates. |
ks |
The values of k at for which estimates are computed. If e.g. k=10, then the threshold is set at the 10th order statistic (10th largest magnitude), and Mittag-Leffler parameter estimates are coputed for the threshold exceedance times. By default, all order statistics are used except the 5 largest, and the estimates are returned in a data frame. |
In the resulting "stability plots", parameter estimates are read off as seemingly constant values within an interval of threshold-values delineated by too few exceedances (high variance, left) and too many exceedances (high bias, right). If β \in (0,1) is the tail parameter estimate and σ > 0 the scale parameter estimate, then the inter-arrival time T(k) for magnitudes higher than the k-th magnitude is distributed as
T(k) ~ \sim ML(β, k^{-1/β} σ).
A data.frame
of Mittag-Leffler parameter estimates,
one row for each threshold, which is returned invisibly
unless plot_me = FALSE
.
1 2 3 4 5 6 |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.