rlgumbel

Deprecated for <code>ssd_rlgumbel()</code>.

Species sensitivity distributions are cumulative probability
distributions which are fitted to toxicity concentrations for
different species as described by Posthuma et al.(2001)
<isbn:9781566705783>. The ssdtools package uses Maximum Likelihood to
fit distributions such as the gamma, log-logistic, log-normal and
log-normal log-normal mixture. Multiple distributions can be averaged
using Akaike Information Criteria. Confidence intervals on hazard
concentrations and proportions are produced by bootstrapping.

Joe Thorley

ssdtools

Species Sensitivity Distributions

Rebecca Fisher

David Fox

Carl Schwarz

Angeline Tillmanns

Seb Dalgarno

Kathleen McTavish

Heather Thompson

Doug Spry

Rick van Dam

Graham Batley

Ali Azizishirazi

Nadine Hussein

Sarah Lyons

Duncan Kennedy

Stephanie Hazlitt

Hadley Wickham

Sergio Ibarra Espinosa

Andy Teucher

Emilie Doussantousse

Nan-Hung Hsieh

Florencia D'Andrea

Province of British Columbia 

Environment and Climate Change Canada 

Australian Government Department of Climate Change, Energy, the Environment and Water 

rlgumbel function

<dl><dt>n</dt>
<dd>positive number of observations.</dd>
<dt>locationlog</dt>
<dd>location on the log scale parameter.</dd>
<dt>scalelog</dt>
<dd>scale on log scale parameter.</dd></dl>

Arguments

Random Generation for log-Gumbel Distribution — rlgumbel

<dl>

<dt>n</dt>
<dd>positive number of observations.</dd>


<dt>locationlog</dt>
<dd>location on the log scale parameter.</dd>


<dt>scalelog</dt>
<dd>scale on log scale parameter.</dd>

</dl>

Random Generation for log-Gumbel Distribution

rlgumbel: Random Generation for log-Gumbel Distribution

Description

Usage

Arguments

Details