fit.sld.lmom
(Package: sld) :
Fit the skew logistic distribution using L-Moments
Fits the quantile-based Skew Logistic Distribution using L-Moments. fit.sld.lmom calculates the sample L Moments of a dataset and uses the method of L Moments to estimate the parameters of the skew logistic distribution. fit.sld.lmom.given fits the skew logistic using user-supplied values of the first three L Moments.
Density, density quantile, distribution and quantile functions and random generation for the quantile-based skew logistic distribution.
● Data Source:
CranContrib
● Keywords: distribution
● Alias: dqsl, dsl, psl, qsl, rsl, sld
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0 images
plotsl
(Package: sld) :
Plots of density and distribution function for the quantile based skew logistic distribution
Produces plots of density and distribution function for the quantile based skew logistic distribution. Although you could use curve(dsl(x)) to do this, the fact that the density and quantiles of this distribution are defined in terms of the depth, u, means that a seperate function that uses the depths to produce the values to plot is more accurate and efficient.
qqsl
(Package: sld) :
Quantile-Quantile plot against the skew logistic distribution
qqgl produces a Quantile-Quantile plot of data against the quantile-based skew logistic distribution, or a Q-Q plot to compare two sets of parameter values for the quantile-based skew logistic distribution. This function does for the skew logistic distribution what qqnorm does for the normal.
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