inver.calib: Inverse Linear Calibration Function

In LinCal: Static Univariate Frequentist and Bayesian Linear Calibration

Inverse Linear Calibration Function

Description

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

Usage

inver.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

Krutchkoff, R. G. (1967). Classical and Inverse Regression Methods of Calibration. Technometrics. 9, 425-439.

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)

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

LinCal documentation built on April 30, 2022, 1:06 a.m.