I have a quick question, and I apologize in advance if, in asking, I expose my woeful ignorance of R and its packages. I am trying to use the bootcov function to estimate the standard errors for some regression quantiles using a cluster bootstrap. However, it seems that bootcov passes arguments that rq.fit doesn't like, preventing the command from executing. Here is an example:
e<-bootcov(rq(y~x),clust,B=10,fitter=rq.fit) (where clust is my clustering variable) results in Error in rq.fit.br(x, y, tau = tau, ...) : unused argument(s) (maxit = 15, penalty.matrix = NULL) In contrast, the lm.fit function seems to just ignore these arguments, resulting in the following warning: 10: In fitter(X[obs, , drop = FALSE], Y[obs, , drop = FALSE], maxit = maxit, : extra arguments maxitpenalty.matrix are just disregarded. Is there a way that I can either (a) modify bootcov so that it doesn't pass these arguments or (b) modify rq so that it ignores them? Thanks in advance, John Gardner ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
