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ssdtools  

Species Sensitivity Distributions
View on CRAN: Click here


Download and install ssdtools package within the R console
Install from CRAN:
install.packages("ssdtools")

Install from Github:
library("remotes")
install_github("cran/ssdtools")

Install by package version:
library("remotes")
install_version("ssdtools", "2.1.0")



Attach the package and use:
library("ssdtools")
Maintained by
Joe Thorley
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-10-14
Latest Update: 2023-08-29
Description:
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.
How to cite:
Joe Thorley (2018). ssdtools: Species Sensitivity Distributions. R package version 2.1.0, https://cran.r-project.org/web/packages/ssdtools. Accessed 07 Nov. 2024.
Previous versions and publish date:
0.0.2 (2018-10-14 18:50), 0.0.3 (2018-11-25 20:10), 0.1.0 (2020-01-13 10:20), 0.1.1 (2020-01-24 22:50), 0.2.0 (2020-04-15 20:20), 0.3.0 (2020-07-10 01:00), 0.3.1 (2020-09-01 11:50), 0.3.2 (2020-09-02 08:50), 0.3.3 (2021-02-19 08:30), 0.3.4 (2021-05-14 16:00), 0.3.5 (2021-09-03 19:10), 0.3.6 (2021-09-22 22:00), 0.3.7 (2021-10-27 23:30), 1.0.0 (2022-04-01 09:10), 1.0.1 (2022-04-10 23:40), 1.0.2 (2022-05-15 01:50), 1.0.3 (2023-04-12 11:20), 1.0.4 (2023-05-17 06:40), 1.0.5 (2023-08-29 16:40), 1.0.6 (2023-09-07 16:10), 2.0.0 (2024-10-09 23:50)
Other packages that cited ssdtools R package
View ssdtools citation profile
Other R packages that ssdtools depends, imports, suggests or enhances
Complete documentation for ssdtools
Functions, R codes and Examples using the ssdtools R package
Some associated functions: augment.fitdists . autoplot.fitdists . boron_data . boron_pred . ccme_data . coef.fitdists . comma_signif . dgompertz . dist_data . dlgumbel . estimates.fitdists . geom_hcintersect . geom_ssdpoint . geom_ssdsegment . geom_xribbon . glance.fitdists . is.fitdists . is_censored . params . predict.fitburrlioz . predict.fitdists . reexports . scale_colour_ssd . ssd_data . ssd_dists . ssd_dists_all . ssd_dists_bcanz . ssd_ecd . ssd_ecd_data . ssd_exposure . ssd_fit_bcanz . ssd_fit_burrlioz . ssd_fit_dists . ssd_gof . ssd_hc . ssd_hc_bcanz . ssd_hc_burrlioz . ssd_hp . ssd_is_censored . ssd_match_moments . ssd_p . ssd_pal . ssd_plot . ssd_plot_cdf . ssd_plot_cf . ssd_plot_data . ssd_q . ssd_r . ssd_sort_data . ssd_wqg_bc . ssd_wqg_burrlioz . ssdtools-ggproto . ssdtools-package . stat_ssd . subset.fitdists . tidy.fitdists . 
Some associated R codes: RcppExports.R . augment.R . autoplot.R . bcanz.R . boot.R . burrlioz.R . burrrIII3.R . censor.R . censored.R . chk.R . cis.R . coef.R . convergence.R . d.R . data.R . devtools-helpers.R . dists.R . estimates.R . exposure.R . fit-burrlioz.R . fit.R . gamma.R . getters.R . ggplot.R . ggproto.R . glance.R . gof.R . gompertz.R . hc-burrlioz.R . hc.R . helpers.R . hp.R . internal.R . invpareto.R . is.R . lgumbel.R . llogis-llogis.R . llogis.R . lnorm-lnorm.R . lnorm.R . logLik.R . match-moments.R . namespace.R . nobs.R . npars.R . params.R . plot-cdf.R . plot-cf.R . plot-data.R . plot.R . pqr.R . predict.R . print.R . seeds.R . ssd-data.R . ssd-plot.R . ssdtools-package.R . subset.R . summary.R . test-helpers.R . tidy.R . tmb.R . utils.R . weibull.R . wqg.R . zzz.R .  Full ssdtools package functions and examples
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