On 11/02/2015 19:38, Bert Gunter wrote:
Presumably you've checked out:
http://cran.r-project.org/web/views/Robust.html
If you can estimate the variance of parameter estimates, betahat, then
you can estimate the variance of a predicted value, X betahat; add the
estimated variance of individuals
Presumably you've checked out:
http://cran.r-project.org/web/views/Robust.html
If you can estimate the variance of parameter estimates, betahat, then
you can estimate the variance of a predicted value, X betahat; add the
estimated variance of individuals to this if that's what you're
looking for
I have created robust regression models using least trimmed squares and
MM-regression (using the R package robustbase).
I am now looking to create prediction intervals for the predicted results.
While I have seen some discussion in the literature about confidence intervals
on the estimates for
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