Description Usage Arguments Value Author(s) Examples

Estimating the calibration equation “y=a+b*x” with error-in observations assuming that the coefficients of the variation of the measurements are constants.

1 | ```
calfun(x, y, CVx, CVy, lambda0)
``` |

`x` |
The observed $x$ values |

`y` |
The observed $y$ values |

`CVx` |
The underlying coefficient of variation of measurement $x$ |

`CVy` |
The underlying coefficient of variation of measurement $y$ |

`lambda0` |
The ratio, $CV_y^2/CV_x^2$ |

`result` |
The estimated regression coefficients, standard error and confidence intervals based on (1) CVx only; (2) CVy only; (3) both CVx and CVy; and (4) the ratio of CVy^2/CVx^2. |

Lu Tian, He Qi

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 |

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