mixtox (version 1.3)

nmECx: Effect Concentration Calculation for J-shaped Models

Description

Effect concentrations are calculated at particular effects based on the fitting coefficients of J-shaped Models.

Usage

nmECx(model, param, effv, minx)

Arguments

model

character vector of equations:("Brain_Consens", "BCV", "Biphasic", "Hill_six")

param

numeric matrix of fitting coefficients with rownames (models) and colnames (ALpha, Beta, Gamma, Delta, and Epsilon).

effv

numeric vector with single or multiple effect values (miny ~ 1)

minx

numeric vector with single or multiple concentrations that induce maximun stimulation

Value

Details

effect concentrations will be calculated with provided equations(model), associated fitting parameters (param), and effects (effv). Effect (effv) should be a value(s) between miny ~ 1. For example, $effv$ should be 0.5 if we want to calculate a concentration causes 50% effect. $minx$ should be calculated using curveFit

References

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. Di Veroli GY, Fornari C, Goldlust I, Mills G, Koh SB, Bramhall JL, et al. 2015. An automated fitting procedure and software for dose-response curves with multiphasic features. Scitific Report 5: 14701. Reference to curveFit

See Also

CEx curveFit

Examples

## example 1
# calculate ECL-10, ECR-10, EC5, and EC50 of the four hormesis curves 
model <- hormesis$sgl$model
param <- hormesis$sgl$param
minx <- hormesis$sgl$minx
nmECx(model, param, effv = c(-0.10, 0.05, 0.50), minx)