subset.fitdists

Select a subset of distributions from a fitdists object.
The Akaike Information-theoretic Criterion differences are calculated after
selecting the distributions named in select.

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
Weibull to censored and/or weighted data. Multiple distributions can
be averaged using Akaike Information Criteria. Confidence intervals
on hazard concentrations and proportions are produced by parametric
bootstrapping.

Joe Thorley

ssdtools

Species Sensitivity Distributions

Carl Schwarz

Rebecca Fisher

David Fox

Angeline Tillmanns

Ali Azizishirazi

Kathleen McTavish

Heather Thompson

Doug Spry

Rick van Dam

Graham Batley

Andy Teucher

Seb Dalgarno

Emilie Doussantousse

Stephanie Hazlitt

Nadine Hussein

Nan-Hung Hsieh

Sergio Ibarra Espinosa

Province of British Columbia 

Environment and Climate Change Canada 

subset.fitdists function

<dl><dt>x</dt>
<dd>The object.</dd>
<dt>select</dt>
<dd>A character vector of the distributions to select.</dd>
<dt>delta</dt>
<dd>A non-negative number specifying the maximum absolute Akaike Information-theoretic Criterion difference cutoff. Distributions with an absolute difference from the best model greater than the cutoff are excluded.</dd>
<dt>...</dt>
<dd>Unused.</dd></dl>

Arguments

Subset fitdists Object — subset.fitdists

<dl>

<dt>x</dt>
<dd>The object.</dd>


<dt>select</dt>
<dd>A character vector of the distributions to select.</dd>


<dt>delta</dt>
<dd>A non-negative number specifying the maximum absolute Akaike Information-theoretic Criterion difference cutoff. Distributions with an absolute difference from the best model greater than the cutoff are excluded.</dd>


<dt>...</dt>
<dd>Unused.</dd>

</dl>

Subset fitdists Object

subset.fitdists: Subset fitdists Object

Description

Usage

Arguments

Examples