Package provides functions for computing the trimmed elemental estimates, as well as for creating the bias-corrected and accelerated bootstrap confidence intervals based on trimmed elemental regressions. This approach offers a robust alternative to ordinary least squares.
|License:||GPL (version 2 or later)|
There are two major functions in the package. The TEE function is for computing the trimmed elemental estimates. The TEE.BCa function is for creating the bias-corrected accelerated bootstrap confidence intervals for regression parameters.
Wei Jiang and Matthew S. Mayo
Maintainer: Wei Jiang <[email protected]>
M. S. Mayo and B. Gray. Elemental subsets: the building blocks of regression. The American Statistician, 51: 122-129, 1997.
M. Hall and M. S. Mayo. Bootstrap confidence intervals and coverage probabilities of regression parameter estimates using trimmed elemental estimation. Journal of Modern Applied Statistical Methods, 7: 514-525, 2008.
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