The Method of L-Moments estimates for the GPD type are the only estimates for any generalised lambda distribution type with closed form expressions.
fit.gpd(x, method = "LM", na.rm = TRUE, record.cpu.time = FALSE, return.data = FALSE)
fit.gpd.lmom(data, na.rm = TRUE)
fit.gpd.lmom.given(lmoms, n = NULL)
x
)?class
"GldFitMultiple
". It is a list, containing these components (optional components noted here);Each of the estimate elements (if they are not NA) are a vector of length 4,
giving the estimated parameters, in order;$alpha$ - location parameter
$beta$ - scale parameter
$delta$ - skewness parameter
$lambda$ - kurtosis parameter
For many values there are two possible estimates for the same L Moment values, one in each of two regions of the GPD GLD parameter space, denoted region A and region B in van Staden (2013). More details on these regions can be found on page 154 of van Staden (2013).
If the 4th L-Moment ratio, $tau4$ is less than the minimum value that $tau4$ can obtain for the GPD generalised lambda distribution;
$$\tau_4^{(min)}=\frac{12-5\sqrt{6}}{12+5\sqrt{6}} \approx -0.0102051,$$
there is no possible estimate (from either region A or B), and this function returns NA for the estimates.
GeneralisedLambdaDistribution
fit.gpd.lmom.given(c(1,.3,.6,.8))
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