conf_bands: Confidence interval for a scluminex object
In drLumi: Multiplex Immunoassays Data Analysis

Description Usage Arguments Details Value References See Also Examples

Computes confidence or prediction interval for the response variable given a concentration value.

1 2	conf_bands(x, analyte = NULL, xvalue, level = 0.95, interval = "confidence")

`x`	a `scluminex` object.
`analyte`	character vector specifying the analytes to estimate the interval. Default `NULL` (all analytes).
`xvalue`	vector of numeric values of the concentration.
`level`	numeric value for interval confidence or prediction level. Default 0.95.
`interval`	character defining type of interval, either 'confidence' or 'prediction'. Default 'confidence'.

Two types of interval can be estimated 'prediction' interval and 'confidence' interval. If the did not converge the function returns NA for all xvalue. If the function cannot estimate the value NaN is returned.

A data.frame with predicted response, lower and upper confidence (prediction) limits, standard error, concentration value, analyte, interval method and background method.

Ruckstuhl, A. (2010). Introduction to Nonlinear Regression. http://stat.ethz.ch/~stahel/courses/cheming/nlreg10E.pdf

predict.nls

# Load data and fit models
data(ecdata)
data(mfidata)

plate1 <- mfidata[mfidata$plate=="plate_1",]
datasets <- data_selection(plate1, ecfile = ecdata)

background <- datasets[[1]]$background
standard <- datasets[[1]]$standard
mod <- scluminex(plateid = "plate_1", standard = standard,
background = background, bkg = "ignore",lfct="SSl4",
fmfi = "mfi", verbose = FALSE)

# Confidence-prediction intervals for FGF analyte
conf_bands(mod, "FGF", xvalue = c(1,3,4), interval = "confidence")
conf_bands(mod, "FGF", xvalue = c(1,3,4), interval = "prediction")

# For all analytes the prediction interval
conf_bands(mod, xvalue = 0.5, interval = "prediction")