Dose Response Curve Fitting and Mixture Toxicity Assessment

Curve Fitting of monotonic(sigmoidal) & non-monotonic(J-shaped) dose-response data. Predicting mixture toxicity based on reference models such as 'concentration addition', 'independent action', and 'generalized concentration addition'.

mixtox

Dose-Response Curve Fitting and Mixture Toxicity Assessment

Description

• Curve Fitting for monotonic(sigmoidal) & non-monotonic(J-shaped) concentration-response data. Prediction of mixture toxicity based on reference models such as 'concentration addition', 'independent action', and 'generalized concentration addition'.

• Source: https://cran.r-project.org/web/packages/mixtox/index.html

• Manual: https://cran.r-project.org/web/packages/mixtox/mixtox.pdf

• Version: 1.4.1

• Date: 2026-04-17

• License: GPL-2

Keywords

• mixture toxicity
• goodness of fit
• sigmoidal dose-response curve
• non-monotonic dose-response curve
• curve fitting
• concentration addition
• independent action
• generalized concentration addition

Introduction

• Curve fitting of concentration-responses based on 13 monotonic(sigmoidal) and 4 non-monotonic(J-shaped) models, goodness of fit, and calculation of confidence interval
• Experimental design for mixture toxicity
  • acr: arbitrary concentration ratio
  • eecr: equal effect concentration ratio
  • udcr: uniform design concentration ratio
• Mixture toxicity prediction based on reference models such as concentration addition (CA), independent action (IA), and generalized concentration addition (GCA).

References

• Zhu, X.-W., Chen, J.-Y. (2016). mixtox: An R Package for Mixture Toxicity Assessment. R Journal, 8(2), 422-434.
• Zhu, X.-W., Ge, H.-L., Cao, Y.-B. (2016). Mixture cytotoxicity assessment of ionic liquids and heavy metals in MCF-7 cells using mixtox. Chemosphere, 163, 544-551.
• Zhu X-W, Liu S-S, Qin L-T, Chen F, Liu H-L. 2013. Modeling non-monotonic dose-response relationships: Model evaluation and hormetic quantities exploration. Ecotoxicology and Environmental Safety 89:130-136.