getCI: Calculating Confidence Intervals

In mixtox: Dose Response Curve Fitting and Mixture Toxicity Assessment

Calculating Confidence Intervals

Description

calculating non-simultanous confidence intervals and prediction intervals

Usage

getCI(object, effv, Scaled = TRUE, sigLev = 0.05, sav = FALSE)

Arguments

object	object of class curveFit.
effv	numeric matrix of experimental responses with at least three replicates.
Scaled	indicating if effv was scaled or not(TRUE/FALSE) in continuous dose-response (rtype = 'continuous')
sigLev	significance level(default is 0.05).
sav	TRUE: save output to a default file; FALSE: output will not be saved; a custom file directory: save output to the custom file directory.

Details

The Delta method (Dybowski et al, 2001) is used to construct confidence intervals for predicted responses.

Value

xmat	effect concentration(s) and corresponding CIs and PIs
emat	effect(s) and and corresponding CIs and PIs
sav	TRUE: save output to a default file; FALSE: output will not be saved; a custom file directory: save output to the custom file directory.

References

Zhu, X.-W. and Chen, J.-Y. (2016). mixtox: An R Package for Mixture Toxicity Assessment. R Journal, 8(2).
Dybowski, R. and Gant, V. (2001). Clinical applications of artificial neural networks. Cambridge University Press, Cambridge.
Gryze, S. De, Langhans, I., and Vandebroek, M. (2007). Using the correct intervals for prediction: A tutorial on tolerance intervals for ordinary least-squares regression. Chemom. Intell. Lab. Syst., 87, 147-154.

Examples

## example 1
x <- cytotox$Ni$x
rspn <- cytotox$Ni$y
obj <- curveFit(x, rspn, eq = 'Logit', param = c(12, 3), effv = c(0.05, 0.5), rtype = 'quantal')
getCI(obj, effv = c(0.05, 0.50))

mixtox documentation built on June 20, 2022, 5:05 p.m.