ssdtools: Species Sensitivity Distributions

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 log-normal, gamma, burr Type-III, log-logistic, log-Gumbel, Gompertz and Weibull. The user can provide custom distributions. Multiple distributions can be averaged using Information Criteria. Confidence intervals on hazard concentrations and proportions are produced by parametric bootstrapping.

Version: 0.2.0
Depends: R (≥ 3.4.0)
Imports: chk, fitdistrplus, actuar, abind, ggplot2, graphics, grid, lifecycle, tibble, scales, stats, VGAM
Suggests: covr, knitr, rmarkdown, testthat, readr, rlang, purrr, tidyr, dplyr, R.rsp, mle.tools, reshape2
Published: 2020-04-15
Author: Joe Thorley ORCID iD [aut, cre, ctr], Carl Schwarz [aut, ctr], Angeline Tillmanns [ctb], Ali Azizishirazi [ctb], Rebecca Fisher [ctb], David Fox [ctb], Kathleen McTavish [ctb], Heather Thompson [ctb], Andy Teucher [ctb], Emilie Doussantousse [ctb], Stephanie Hazlitt [ctb], Nan-Hung Hsieh [ctb], Sergio Ibarra Espinosa [ctb], Province of British Columbia [cph]
Maintainer: Joe Thorley <joe at poissonconsulting.ca>
BugReports: https://github.com/bcgov/ssdtools/issues
License: Apache License (== 2.0) | file LICENSE
URL: https://github.com/bcgov/ssdtools
NeedsCompilation: no
Language: en-US
Citation: ssdtools citation info
Materials: README NEWS
CRAN checks: ssdtools results

Downloads:

Reference manual: ssdtools.pdf
Vignettes: Selecting Distributions
Embellishing Plots with an Exposure Distribution
Frequently Asked Questions
Small sample bias in estimates - reference
Get Started with ssdtools
Small sample bias in estimates
Package source: ssdtools_0.2.0.tar.gz
Windows binaries: r-devel: ssdtools_0.2.0.zip, r-release: ssdtools_0.2.0.zip, r-oldrel: ssdtools_0.2.0.zip
macOS binaries: r-release: ssdtools_0.2.0.tgz, r-oldrel: ssdtools_0.2.0.tgz
Old sources: ssdtools archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ssdtools to link to this page.