Description Usage Arguments Details Value References See Also Examples

`etreg`

fits a regression models when one or more of the independent variables are
measured with additive noise.

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`formula` |
a symbolic description for the model to be estimated, |

`data` |
a |

`subset` |
see |

`na.action` |
a function which indicates what should happen when the data contain NAs. The default is set by the na.action setting of options, and is na.fail if that is unset. The ‘factory-fresh’ default is na.omit. Another possible value is NULL, no action. Value na.exclude can be useful. |

`weights` |
an optional vector of weights to be used in the fitting process. |

`model, x, y` |
logicals. If |

`...` |
further arguments. |

Standard regression would underestimate the effect of the variable if it is measure with aditive noise. The regression can be adjusted for the biases if the reliability is known:

reliability = 1 - (noise variance)/(total variance)

object of class 'eivlm' which inherits from class 'lm'.
Components are identical to those of class 'lm',
see `lm`

.

Draper, N., and H. Smith. (1998). Applied Regression Analysis. 3rd ed. New York. Wiley.

See Also `lm`

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Paulms/RegUtils documentation built on May 8, 2019, 1:27 a.m.

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