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.
1 2 3 |
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
1 2 3 |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.