- x
a (non-empty) numeric vector of data values.

- y
a second (non-empty) numeric vector of data values.

- two.samp.diff
logical, defining if the confidence intervals for the difference (mad(x)-mad(y)) (default) or for the squared ratio ((mad(x)/mad(y))^2) should be calculated. Ignored if y is not given.

- gld.est
A character string, to select the estimation method for the generalized lambda distribution. One of: `ML`

for numerical Maximum Likelihood, `MPS`

or `MSP`

for Maximum Spacings Product, `TM`

for Titterington's Method (default), `SM`

for Starship Method, `TL`

for method of Trimmed L-moments, `Lmom`

for method of L-moments, `DLA`

for the method of Distributional Least Absolutes, or `Mom`

for method of Moments.
See `fit.fkml()`

.

- conf.level
confidence level of the interval.

- sides
a character string specifying the side of the confidence interval, must be one of `"two.sided"`

(default), `"left"`

or `"right"`

. You can specify just the initial letter. `"left"`

would be analogue to a hypothesis of `"greater"`

in a `t.test`

.

- na.rm
logical. Should missing values be removed? Defaults to `FALSE`

.

- ...
further arguments, not used here