jqpd: Calculates the parameters of the Johnson...

In rjqpd: The Johnson Quantile-Parameterised Distribution

Description

Calculates the parameters of the Johnson Quantile-Parameterised Distribution

Usage

jqpd(x, lower = 0, upper = Inf, alpha = 0.1)

Arguments

x	a length 3 numeric vector containing the symmetric percentile triplet values used to parameterise the distribution.
lower	a real number specifying the lower bound of the distribution. (default: 0)
upper	a real number specifying the upper bound of the distribution. A value of Inf indicates a semi-bounded distribution. (default: Inf)
alpha	a real number (between 0 and 0.5) used to describe the symmetric percentile triplet for which the quantile values provided in 'x' correspond. For instance, alpha = 0.1 (default value) indicates the percentiles used are [0.1, 0.5, 0.9].

Value

A jqpd object with elements

x	a length 3 numeric vector containing the symmetric percentile triplet values used to parameterise the distribution
alpha	a real number (between 0 and 0.5) used to describe the symmetric percentile triplet for which the quantile values provided in 'x' correspond
lower	a real number specifying the lower bound of the distribution
upper	a real number specifying the upper bound of the distribution
c	distribution parameter
n	distribution parameter
eta	distribution parameter
delta	distribution parameter
lambda	distribution parameter
k	distribution parameter

Examples

theta <- jqpd(c(0.32, 0.40, 0.6), 0, 1, alpha = 0.1)

rjqpd documentation built on Oct. 23, 2020, 8:26 p.m.