Showing 21 of total 21 results (show query)
open-aims
bayesnec:A Bayesian No-Effect- Concentration (NEC) Algorithm
Implementation of No-Effect-Concentration estimation that uses 'brms' (see Burkner (2017)<doi:10.18637/jss.v080.i01>; Burkner (2018)<doi:10.32614/RJ-2018-017>; Carpenter 'et al.' (2017)<doi:10.18637/jss.v076.i01> to fit concentration(dose)-response data using Bayesian methods for the purpose of estimating 'ECx' values, but more particularly 'NEC' (see Fox (2010)<doi:10.1016/j.ecoenv.2009.09.012>), 'NSEC' (see Fisher and Fox (2023)<doi:10.1002/etc.5610>), and 'N(S)EC (see Fisher et al. 2023<doi:10.1002/ieam.4809>). A full description of this package can be found in Fisher 'et al.' (2024)<doi:10.18637/jss.v110.i05>. This package expands and supersedes an original version implemented in 'R2jags' (see Su and Yajima (2020)<https://CRAN.R-project.org/package=R2jags>; Fisher et al. (2020)<doi:10.5281/ZENODO.3966864>).
Maintained by Rebecca Fisher. Last updated 7 months ago.
bayesian-inferenceconcentration-responseecotoxicologyno-effect-concentrationnon-linear-decaythreshold-derivationtoxicology
10.0 match 12 stars 8.11 score 360 scripts
toxpi
toxpiR:Create ToxPi Prioritization Models
Enables users to build 'ToxPi' prioritization models and provides functionality within the grid framework for plotting ToxPi graphs. 'toxpiR' allows for more customization than the 'ToxPi GUI' (<https://toxpi.org>) and integration into existing workflows for greater ease-of-use, reproducibility, and transparency. toxpiR package behaves nearly identically to the GUI; the package documentation includes notes about all differences. The vignettes download example files from <https://github.com/ToxPi/ToxPi-example-files>.
Maintained by Jonathon F Fleming. Last updated 7 months ago.
data-sciencemodelingtoxicology
10.0 match 11 stars 6.58 score 19 scripts
phuse-org
toxSummary:Visualize and Summarize Repeat-Dose Toxicology Study Results
A 'shiny' app that generates plots and summary tables from repeat-dose toxicology study results to facilitate holistic evaluation of the drug safety of active pharmaceutical ingredients (API) prior to initiation of clinical trials.
Maintained by Yousuf Ali. Last updated 11 months ago.
cdisc-sendr-shiny-apptoxicologyvisualization
13.4 match 9 stars 4.65 score 4 scripts
benjaminhlina
ecotox:Analysis of Ecotoxicology
A simple approach to using a probit or logit analysis to calculate lethal concentration (LC) or time (LT) and the appropriate fiducial confidence limits desired for selected LC or LT for ecotoxicology studies (Finney 1971; Wheeler et al. 2006; Robertson et al. 2007). The simplicity of 'ecotox' comes from the syntax it implies within its functions which are similar to functions like glm() and lm(). In addition to the simplicity of the syntax, a comprehensive data frame is produced which gives the user a predicted LC or LT value for the desired level and a suite of important parameters such as fiducial confidence limits and slope. Finney, D.J. (1971, ISBN: 052108041X); Wheeler, M.W., Park, R.M., and Bailer, A.J. (2006) <doi:10.1897/05-320R.1>; Robertson, J.L., Savin, N.E., Russell, R.M., and Preisler, H.K. (2007, ISBN: 0849323312).
Maintained by Benjamin L Hlina. Last updated 2 months ago.
biologydose-response-modelinglogitprobittoxicology
10.0 match 3 stars 4.50 score 10 scripts
r-forge
coin:Conditional Inference Procedures in a Permutation Test Framework
Conditional inference procedures for the general independence problem including two-sample, K-sample (non-parametric ANOVA), correlation, censored, ordered and multivariate problems described in <doi:10.18637/jss.v028.i08>.
Maintained by Torsten Hothorn. Last updated 9 months ago.
3.6 match 11.68 score 1.6k scripts 74 dependents
asancpt
caffsim:Simulation of Plasma Caffeine Concentrations by Using Population Pharmacokinetic Model
Simulate plasma caffeine concentrations using population pharmacokinetic model described in Lee, Kim, Perera, McLachlan and Bae (2015) <doi:10.1007/s00431-015-2581-x> and the package was published <doi:10.12793/tcp.2017.25.3.141>.
Maintained by Sungpil Han. Last updated 5 years ago.
caffeinemedicinemonte-carlo-simulationpharmacokineticspharmacometricstoxicology
10.0 match 9 stars 3.77 score 13 scripts
usepa
tcpl:ToxCast Data Analysis Pipeline
The ToxCast Data Analysis Pipeline ('tcpl') is an R package that manages, curve-fits, plots, and stores ToxCast data to populate its linked MySQL database, 'invitrodb'. The package was developed for the chemical screening data curated by the US EPA's Toxicity Forecaster (ToxCast) program, but 'tcpl' can be used to support diverse chemical screening efforts.
Maintained by Jason Brown. Last updated 3 days ago.
4.0 match 36 stars 9.41 score 90 scripts
anikoszabo
CorrBin:Nonparametrics with Clustered Binary and Multinomial Data
Implements non-parametric analyses for clustered binary and multinomial data. The elements of the cluster are assumed exchangeable, and identical joint distribution (also known as marginal compatibility, or reproducibility) is assumed for clusters of different sizes. A trend test based on stochastic ordering is implemented. Szabo A, George EO. (2010) <doi:10.1093/biomet/asp077>; George EO, Cheon K, Yuan Y, Szabo A (2016) <doi:10.1093/biomet/asw009>.
Maintained by Aniko Szabo. Last updated 7 months ago.
10.6 match 3.45 score 28 scripts
cran
drc:Analysis of Dose-Response Curves
Analysis of dose-response data is made available through a suite of flexible and versatile model fitting and after-fitting functions.
Maintained by Christian Ritz. Last updated 9 years ago.
3.8 match 8 stars 8.39 score 1.4k scripts 28 dependents
thothorn
exactRankTests:Exact Distributions for Rank and Permutation Tests
Computes exact conditional p-values and quantiles using an implementation of the Shift-Algorithm by Streitberg & Roehmel.
Maintained by Torsten Hothorn. Last updated 3 years ago.
3.6 match 1 stars 7.13 score 276 scripts 65 dependentsusepa
ctxR:Utilities for Interacting with the 'CTX' APIs
Access chemical, hazard, bioactivity, and exposure data from the Computational Toxicology and Exposure ('CTX') APIs <https://www.epa.gov/comptox-tools/computational-toxicology-and-exposure-apis>. 'ctxR' was developed to streamline the process of accessing the information available through the 'CTX' APIs without requiring prior knowledge of how to use APIs. Most data is also available on the CompTox Chemical Dashboard ('CCD') <https://comptox.epa.gov/dashboard/> and other resources found at the EPA Computational Toxicology and Exposure Online Resources <https://www.epa.gov/comptox-tools>.
Maintained by Paul Kruse. Last updated 2 months ago.
2.2 match 10 stars 8.02 score 13 scripts 1 dependents
bioc
GladiaTOX:R Package for Processing High Content Screening data
GladiaTOX R package is an open-source, flexible solution to high-content screening data processing and reporting in biomedical research. GladiaTOX takes advantage of the tcpl core functionalities and provides a number of extensions: it provides a web-service solution to fetch raw data; it computes severity scores and exports ToxPi formatted files; furthermore it contains a suite of functionalities to generate pdf reports for quality control and data processing.
Maintained by PMP S.A. R Support. Last updated 5 months ago.
softwareworkflowstepnormalizationpreprocessingqualitycontrol
3.5 match 4.00 score 2 scripts
niehs
amadeus:Accessing and Analyzing Large-Scale Environmental Data
Functions are designed to facilitate access to and utility with large scale, publicly available environmental data in R. The package contains functions for downloading raw data files from web URLs (download_data()), processing the raw data files into clean spatial objects (process_covariates()), and extracting values from the spatial data objects at point and polygon locations (calculate_covariates()). These functions call a series of source-specific functions which are tailored to each data sources/datasets particular URL structure, data format, and spatial/temporal resolution. The functions are tested, versioned, and open source and open access. For sum_edc() method details, see Messier, Akita, and Serre (2012) <doi:10.1021/es203152a>.
Maintained by Kyle Messier. Last updated 19 days ago.
1.5 match 8 stars 7.16 score 13 scripts
c1au6i0
extractox:Extract Tox Info from Various Databases
Extract toxicological and chemical information from databases maintained by scientific agencies and resources, including the Comparative Toxicogenomics Database <https://ctdbase.org/>, the Integrated Chemical Environment <https://ice.ntp.niehs.nih.gov/>, the Integrated Risk Information System <https://cfpub.epa.gov/ncea/iris/>, Provisional Peer-Reviewed Toxicity Values <https://www.epa.gov/pprtv/provisional-peer-reviewed-toxicity-values-pprtvs-assessments>, the CompTox Chemicals Dashboard Resource Hub <https://www.epa.gov/comptox-tools/comptox-chemicals-dashboard-resource-hub>, PubChem <https://pubchem.ncbi.nlm.nih.gov/>, and others.
Maintained by Claudio Zanettini. Last updated 1 months ago.
2.3 match 3 stars 4.59 score 3 scriptsniehs
GeoTox:Spatiotemporal Mixture Risk Assessment
Connecting spatiotemporal exposure to individual and population-level risk via source-to-outcome continuum modeling. The package, methods, and case-studies are described in Messier, Reif, and Marvel (2025) <doi:10.1186/s40246-024-00711-8> and Eccles et al. (2023) <doi:10.1016/j.scitotenv.2022.158905>.
Maintained by Kyle Messier. Last updated 1 months ago.
1.5 match 5 stars 6.23 score 3 scriptscran
ETC:Equivalence to Control
Treatments of a one-way layout, being equivalent to a control, can be selected with this package. Bonferroni adjusted "two one-sided t-tests" (TOST) and related simultaneous confidence intervals are given for both differences or ratios of means of normally distributed data. For the case of equal variances and balanced sample sizes for the treatment groups, the single-step procedure of Bofinger and Bofinger (1995) <doi:10.1111/j.2517-6161.1995.tb02058.x> can be chosen. For non-normal data, the Wilcoxon test is applied.
Maintained by Mario Hasler. Last updated 3 years ago.
3.6 match 1.70 scoreusepa
ccdR:Utilities for Interacting with the 'CTX' APIs
Access chemical, hazard, bioactivity, and exposure data from the Computational Toxicology and Exposure ('CTX') APIs <https://api-ccte.epa.gov/docs/>. 'ccdR' was developed to streamline the process of accessing the information available through the 'CTX' APIs without requiring prior knowledge of how to use APIs. Most data is also available on the CompTox Chemical Dashboard ('CCD') <https://comptox.epa.gov/dashboard/> and other resources found at the EPA Computational Toxicology and Exposure Online Resources <https://www.epa.gov/comptox-tools>.
Maintained by Paul Kruse. Last updated 8 months ago.
0.8 match 2 stars 6.38 score 7 scripts
virgile-baudrot
rPBK:Inference and Prediction of Generic Physiologically-Based Kinetic Models
Fit and simulate any kind of physiologically-based kinetic ('PBK') models whatever the number of compartments. Moreover, it allows to account for any link between pairs of compartments, as well as any link of each of the compartments with the external medium. Such generic PBK models have today applications in pharmacology (PBPK models) to describe drug effects, in toxicology and ecotoxicology (PBTK models) to describe chemical substance effects. In case of exposure to a parent compound (drug or chemical) the 'rPBK' package allows to consider metabolites, whatever their number and their phase (I, II, ...). Last but not least, package 'rPBK' can also be used for dynamic flux balance analysis (dFBA) to deal with metabolic networks. See also Charles et al. (2022) <doi:10.1101/2022.04.29.490045>.
Maintained by Virgile Baudrot. Last updated 1 years ago.
0.5 match 2.70 score 3 scripts
20k-p
DEMOVA:DEvelopment (of Multi-Linear QSPR/QSAR) MOdels VAlidated using Test Set
Tool for the development of multi-linear QSPR/QSAR models (Quantitative structure-property/activity relationship). Theses models are used in chemistry, biology and pharmacy to find a relationship between the structure of a molecule and its property (such as activity, toxicology but also physical properties). The various functions of this package allows: selection of descriptors based of variances, intercorrelation and user expertise; selection of the best multi-linear regression in terms of correlation and robustness; methods of internal validation (Leave-One-Out, Leave-Many-Out, Y-scrambling) and external using test sets.
Maintained by Vinca Prana. Last updated 9 years ago.
0.5 match 1.30 score 10 scripts