ecaPred: Mixture Effect Predicted by CA at Particular ECx of a Mixture

Description

According to the fitted concentration-response information of mixtures. The concentration (e.g., ECx) that causes certain effect in the mixture will be calculated. ecaPred will predict how much effect will be caused at ECx according to concentration addition.

Usage

ecaPred(effv, sgl, mix, pctMix)

Arguments

effv

numeric vector with single or multiple effect values (0 ~ 1).

sgl

A list with sgl$model and sgl$param. sgl$model is character vector of equations used to fit the concentration-response data of individual chemicals: Hill, Weibull, Logit, BCW, BCL, GL. sgl$param is numeric matrix of fitting coefficients with rowname

mix

A list with mix$model and mix$param. mix$model is character vector of equations used to fit the concentration-response data of mixtures: Hill, Weibull, Logit, BCW, BCL, GL. mix$param is numeric matrix of fitting coefficients of mixtures' concentrati

pctMix

A numeric matrix, the concentration ratio (percent) of every component in the mixture.

Value

A numeric matrix of predicted effects

Details

ecaPred calculate the effect concentrations based on the fitted concentration-response information of the mixture according to the input effects effv (e.g., 0.05 and 0.5). The concentration of individual component $c_i$ is computed based on mixture's ECx and the proportion of component in the mixture $p_i$. Then the CA effect will be calculated based on the concentration addition.

Examples

Run this code

## example
# predict the CA effect at the concentrations that cause 10% and 50% effect of an mixture.
# each mixture contains eight components. Totally, there are 10 mixtures designed by the udcr.
data(cytotox)
sgl <- cytotox$sgl
mix <- cytotox$mix
pct <- cytotox$pct
ecaPred(effv = c(0.1, 0.5), sgl, mix, pct)