Title: Incorporating Ecological Data and Associated Uncertainty in
Author: Frederik De Laender <frederik.delaender@ugent.be> Karline
Maintainer: Frederik De Laender <frederik.delaender@ugent.be>
Description: Functions that predict internal concentrations of
hydrophobic chemicals in aquatic organisms.

Title: Analyzing Toxicology Dose-Response Data
comment = "Modified code for (Jonckheere, Williams etc.) to make them  standalone functions."),
comment ="Maintainer of nloptr Packag 2.0.1 from which all compile scripts were taken."),
comment ="Contributed script to download GSL, as in RcppGSL."),
person("U.S. Deptartment of Health and Human Services",
comment ="Owns Copyright for all ToxicR code outside NLOPT and nloptr scripts.")
Description: Toxicology routines for analyzing dose-response data include dose-response analysis
and trend tests. Dose-Response methods are based upon the US EPA's benchmark dose software 3.  Methods have
been extended to include additional functionality based on World Health Organization
guidelines.  It further supports the European Food Safety Authority's
draft guidance on model averaging. The dose-response methods and datasets used in this package are
and Wheeler et al. (2022) <doi:10.1002/env.2728>.  NTP routines are described in
Suggests: rmarkdown, actuar (>= 3.2-0),ggpubr (>= 0.4.0), testthat (>=
Author: Matt Wheeler [aut, cre] (<https://orcid.org/0000-0002-8242-2391>),
Lonlong Yang [ctb] (Modfied Cochran-Armitage test.),
Ashwin Raghuraman [ctb] (Modified code for (Jonckheere, Williams etc.)
Steven Johnson [ctb] (Author of NLOPT.),
Aymeric Stamm [ctb] (Maintainer of nloptr Packag 2.0.1 from which all
Dirk Eddelbuettel [ctb] (Contributed script to download GSL, as in
U.S. Deptartment of Health and Human Services [cph] (Owns Copyright for
all ToxicR code outside NLOPT and nloptr scripts.)

Packaged: 2022-05-25 15:11:11 UTC; wheelermw

Packaged: 2022-08-08 13:52:30 UTC; wheelermw

Packaged: 2022-10-12 12:03:57 UTC; wheelermw

Title: Analysis of Large-Scale Toxico-Genomic Data
person("Amy", "Tang", email = "amy.tang@queensu.ca",
person("Nehme", "El-Hachem1", email = "hachemn@gmail.com",
Description: Contains a set of functions to perform large-scale analysis of
toxicogenomic data. A member of the Benjamin Haibe-Kains (BHK) lab's genomics
(Gx) suite of software, this package provides a standardized data structure to
hold information relevant to annotation, visualization and statistical
analysis of toxico-genomic data. This package is in early release, and more
features will be added over the next few months. For more information please
see the included documentation, vignette, as well as:
Ruede-Zarate, H.A. et al (2017) <doi:10.1371/journal.pone.0176284>,
Caiment, F. et al (2014) <doi:10.1093/carcin/bgt278>.
Imports: SummarizedExperiment, Biobase, RColorBrewer, caTools,
Suggests: testthat (>= 2.1.0), rmarkdown, knitr, knitcitations,