Hello,
Is there a simple function that calculates standard errors and confidence limits of response values (Y) in a linear model, where parameter estimates have been arrived at by bootstrapping (e.g. according to the first example in Angelo Canty's prsentation of the "boot" package in R-News, Dec 2002)? Or does anyone have any ideas as to the simplest way to write such a function, incorporating enough flexibility in terms of model structure etc?
Thanks!
Martin
______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
