Qgk_deriv

Derivative of the g-and-k Q function.

internal

Functions for the g-and-k and generalised g-and-h distributions.

Dennis Prangle

g-and-k and g-and-h Distribution Functions

Qgk_deriv function

<dl><dt>z</dt>
<dd>A vector of normal quantiles.</dd>
<dt>A</dt>
<dd>Vector of A (location) parameters.</dd>
<dt>B</dt>
<dd>Vector of B (scale) parameters. Must be positive.</dd>
<dt>g</dt>
<dd>Vector of g parameters.</dd>
<dt>k</dt>
<dd>Vector of k parameters. Must be at least -0.5.</dd>
<dt>c</dt>
<dd>Vector of c parameters. Often fixed at 0.8 which is the default.</dd>
<dt>getR</dt>
<dd>When <code>TRUE</code> returns a faster partial calculation that has the same sign as the derivative (Used in checking parameter validity.)</dd></dl>

Arguments

g-and-k Q derivative — Qgk_deriv

<dl>

<dt>z</dt>
<dd>A vector of normal quantiles.</dd>


<dt>A</dt>
<dd>Vector of A (location) parameters.</dd>


<dt>B</dt>
<dd>Vector of B (scale) parameters. Must be positive.</dd>


<dt>g</dt>
<dd>Vector of g parameters.</dd>


<dt>k</dt>
<dd>Vector of k parameters. Must be at least -0.5.</dd>


<dt>c</dt>
<dd>Vector of c parameters. Often fixed at 0.8 which is the default.</dd>


<dt>getR</dt>
<dd>When <code>TRUE</code> returns a faster partial calculation that has the same sign as the derivative (Used in checking parameter validity.)</dd>

</dl>

Qgk_deriv: g-and-k Q derivative

Description

Usage

Value

Arguments