# 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

 `1` ```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

 `1` ```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.