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ldt (version 0.5.3)

s.gld.density.quantile: GLD Density-Quantile Function

Description

This function calculates the densities of a Generalized Lambda Distribution (FKLM) given a vector of probabilities.

Usage

s.gld.density.quantile(probs, p1, p2, p3, p4)

Value

A numeric vector representing the densities for each probability in probs.

Arguments

probs

A numeric vector representing the probabilities.

p1

Numeric value representing the first parameter (location) of the distribution.

p2

Numeric value representing the second parameter (scale) of the distribution.

p3

Numeric value representing the third parameter (skewness) of the distribution.

p4

Numeric value representing the fourth parameter (kurtosis) of the distribution.

Details

It is a helper statistics method in this package and is generally used to plot density function of a GLD distribution.

See Also

s.gld.quantile

Examples

Run this code
# In this example we use this function and plot the density function for
# standard normal distribution:
probs <- seq(0.1,0.9,0.1)
x <- s.gld.quantile(probs, 0,1,0,0)
y <- s.gld.density.quantile(probs, 0,1,0,0)
plot(x,y)
lines(x,y)

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