class.calib {LinCal}

Classical Linear Calibration Function

Description

class.calib uses the classical frequentist approach to estimate an unknown X given observed vector y0 and calculates confidence interval estimates.

Usage

class.calib(x, y, alpha, y0)

Arguments

x

numerical vector of regressor measurments

y

numerical vector of observation measurements

alpha

the confidence interval to be calculated

y0

vector of observed calibration value

References

Eisenhart, C. (1939). The interpretation of certain regression methods and their use in biological and industrial research. Annals of Mathematical Statistics. 10, 162-186.

Examples

X <- c(1,1,2,2,3,3,4,4,5,5,6,6,7,7,8,8,9,9,10,10)
Y <- c(1.8,1.6,3.1,2.6,3.6,3.4,4.9,4.2,6.0,5.9,6.8,6.9,8.2,7.3,8.8,8.5,9.5,9.5,10.6,10.6)

class.calib(X,Y,0.05,6)