boron_pred

<p>A data frame of the predictions based on 1,000 bootstrap iterations.</p>

datasets

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 

boron_pred function

<p>An object of class <code>tbl_df</code> (inherits from <code>tbl</code>, <code>data.frame</code>) with 99 rows and 8 columns.</p>

Format

Model Averaged Predictions for CCME Boron Data — boron_pred

Model Averaged Predictions for CCME Boron Data

boron_pred: Model Averaged Predictions for CCME Boron Data

Description

Usage

Arguments

Format

Details

See Also

Examples