# 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

1 | ```
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

1 2 3 4 | ```
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)
``` |

Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker. Vote for new features on Trello.