ssd_hp_bcanz

Gets proportion of species affected at specified concentration(s)
using settings adopted by BC, Canada, Australia and New Zealand for official guidelines.
This function can take several minutes to run with recommended 10,000 iterations.

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 

ssd_hp_bcanz function

<dl><dt>x</dt>
<dd>The object.</dd>
<dt>conc</dt>
<dd>A numeric vector of concentrations to calculate the hazard proportions for.</dd>
<dt>nboot</dt>
<dd>A count of the number of bootstrap samples to use to estimate the confidence limits. A value of 10,000 is recommended for official guidelines.</dd>
<dt>min_pboot</dt>
<dd>A number between 0 and 1 of the minimum
proportion of bootstrap samples that must successfully fit (return a likelihood)
to report the confidence intervals.</dd></dl>

Arguments

BCANZ Hazard Proportion — ssd_hp_bcanz

<dl>

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


<dt>conc</dt>
<dd>A numeric vector of concentrations to calculate the hazard proportions for.</dd>


<dt>nboot</dt>
<dd>A count of the number of bootstrap samples to use to estimate the confidence limits. A value of 10,000 is recommended for official guidelines.</dd>


<dt>min_pboot</dt>
<dd>A number between 0 and 1 of the minimum
proportion of bootstrap samples that must successfully fit (return a likelihood)
to report the confidence intervals.</dd>

</dl>

BCANZ Hazard Proportion

ssd_hp_bcanz: BCANZ Hazard Proportion

Description

Usage

Value

Arguments

See Also

Examples