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

In ldt: Automated Uncertainty Analysis

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)

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.

Value

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

See Also

s.gld.quantile

Examples

# 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)

ldt documentation built on Sept. 11, 2024, 5:25 p.m.