Simulate random deviates from a Tweedie distribution with given parameters
\(\mu\), \(p\), and \(\phi\). Works with vector values for
all parameters, unlike the version on mgcv.

Graceful 'ggplot'-based graphics and utility functions for working with generalized additive models (GAMs) fitted using the 'mgcv' package. Provides a reimplementation of the plot() method for GAMs that 'mgcv' provides, as well as 'tidyverse' compatible representations of estimated smooths.

Gavin Simpson

gratia

Graceful 'ggplot'-Based Graphics and Other Functions for GAMs
Fitted Using 'mgcv'

Gavin L. Simpson

Henrik Singmann

rtw function

<dl><dt>mu</dt>
<dd>numeric vector of mean values of Tweedie distribution.</dd>
<dt>p</dt>
<dd>numeric vector of values for the power parameter of the Tweedie
distribution.</dd>
<dt>phi</dt>
<dd>numeric vector of values for the scale parameter \(\phi\)
of the Tweedie distribution.</dd></dl>

Arguments

Simulator for tweedie LSS models — rtw

<dl>

<dt>mu</dt>
<dd>numeric vector of mean values of Tweedie distribution.</dd>


<dt>p</dt>
<dd>numeric vector of values for the power parameter of the Tweedie
distribution.</dd>


<dt>phi</dt>
<dd>numeric vector of values for the scale parameter \(\phi\)
of the Tweedie distribution.</dd>

</dl>

rtw: Simulator for tweedie LSS models

Description

Usage

Arguments