class.calib: 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.
# NOT RUN {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)
# }