Package: ssdtools 2.1.0
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 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 parametric bootstrapping.
Authors:
ssdtools_2.1.0.tar.gz
ssdtools_2.1.0.tar.gz(r-4.5-noble)ssdtools_2.1.0.tar.gz(r-4.4-noble)
ssdtools.pdf |ssdtools.html✨
ssdtools/json (API)
NEWS
# Install 'ssdtools' in R: |
install.packages('ssdtools', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/bcgov/ssdtools/issues
Pkgdown:https://bcgov.github.io
- boron_pred - Model Averaged Predictions for CCME Boron Data
- dist_data - Distribution Data
Last updated 2 months agofrom:48fe6874bd. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Dec 21 2024 |
R-4.5-linux-x86_64 | OK | Dec 21 2024 |
Exports:augmentautoplotcoefcomma_signifdgompertzdlgumbelestimatesgeom_hcintersectgeom_ssdgeom_ssdpointgeom_ssdsegmentgeom_xribbonGeomHcintersectGeomSsdpointGeomSsdsegmentGeomXribbonglanceis_censoredis.fitdistslogLiknobsnparsparamspgompertzplgumbelplotpredictqgompertzqlgumbelrgompertzrlgumbelscale_color_ssdscale_colour_ssdscale_fill_ssdssd_censor_datassd_datassd_distsssd_dists_allssd_dists_bcanzssd_eburrIII3ssd_ecdssd_ecd_datassd_egammassd_egompertzssd_einvparetossd_elgumbelssd_ellogisssd_ellogis_llogisssd_elnormssd_elnorm_lnormssd_emultissd_eweibullssd_exposuressd_fit_bcanzssd_fit_burrliozssd_fit_distsssd_gofssd_hcssd_hc_bcanzssd_hc_burrliozssd_hpssd_hp_bcanzssd_is_censoredssd_label_commassd_licensing_mdssd_match_momentsssd_min_pmixssd_palssd_pburrIII3ssd_pgammassd_pgompertzssd_pinvparetossd_plgumbelssd_pllogisssd_pllogis_llogisssd_plnormssd_plnorm_lnormssd_plotssd_plot_cdfssd_plot_cfssd_plot_datassd_pmultissd_pmulti_fitdistsssd_pweibullssd_qburrIII3ssd_qgammassd_qgompertzssd_qinvparetossd_qlgumbelssd_qllogisssd_qllogis_llogisssd_qlnormssd_qlnorm_lnormssd_qmultissd_qmulti_fitdistsssd_qweibullssd_rburrIII3ssd_rgammassd_rgompertzssd_rinvparetossd_rlgumbelssd_rllogisssd_rllogis_llogisssd_rlnormssd_rlnorm_lnormssd_rmultissd_rmulti_fitdistsssd_rweibullssd_sort_datassd_wqg_bcssd_wqg_burrliozstat_ssdStatSsdpointStatSsdsegmenttidywaiver
Dependencies:abindchkclicodetoolscolorspacedigestdplyrfansifarverfurrrfuturegenericsggplot2globalsgluegoftestgtableisobandlabelinglatticelifecyclelistenvmagrittrMASSMatrixmgcvmunsellnlmeparallellypillarpkgconfigplyrpurrrR6rbibutilsRColorBrewerRcppRcppEigenRdpackrlangscalesssddatastringistringrtibbletidyselectTMBuniversalsutf8vctrsviridisLitewithr
Additional Technical Details
Rendered fromadditional-technical-details.Rmd
usingknitr::rmarkdown
on Dec 21 2024.Last update: 2024-10-09
Started: 2024-10-09
Customising Plots
Rendered fromcustomising-plots.Rmd
usingknitr::rmarkdown
on Dec 21 2024.Last update: 2024-10-09
Started: 2024-10-09
Distributions in ssdtools
Rendered fromdistributions.Rmd
usingknitr::rmarkdown
on Dec 21 2024.Last update: 2024-10-09
Started: 2020-01-13
Getting Started with ssdtools
Rendered fromssdtools.Rmd
usingknitr::rmarkdown
on Dec 21 2024.Last update: 2024-10-09
Started: 2020-01-13
Model Averaging SSDs
Rendered frommodel-averaging.Rmd
usingknitr::rmarkdown
on Dec 21 2024.Last update: 2024-10-09
Started: 2024-10-09
Small sample bias in estimates
Rendered fromsmall-sample-bias.pdf.asis
usingR.rsp::asis
on Dec 21 2024.Last update: 2020-01-13
Started: 2020-01-13