S, There is no mention of a type="bca" argument on the ?confint help file.
You can look here for an example of using the boot.ci() function in the boot package: http://www.statmethods.net/advstats/bootstrapping.html Jean On Fri, Apr 10, 2015 at 11:01 AM, varin sacha <varinsa...@yahoo.fr> wrote: > Dear R-Experts, > > I am trying to compute the BCa nonparametric bootstrap on regression > coefficients. > > Here is the reproducible example : > > GDP.LOG <-c(14,12,13,15.5,16,17,16.5,13.5,12.5,12) > Quality.score <-c(12,11,13,14,15,16,12,10,9,9) > Competitivness.score=c(8,6,7,5,6.5,7,8,4.5,6,7) > fit <- lm(formula = GDP.LOG ~ Quality.score + Competitivness.score) > confint(fit, level=.95) > confint.default(fit, level=.95) > confint(fit,level=.95,type="bca") > > I am not sure but I think that I can not get the nonparametric BCa > bootstrap with the confint function. As you can see, I have tried the > argument type="bca", I don’t get any error message, but the results don’t > change, the results are exactly the same as confint(fit,level=.95). > As I have understood, the default argument uses normal quantiles and the > method for linear models uses T-quantiles instead. > So, I have checked the boot package and the boot.ci function to calculate > the BCa bootstrap on the regression coefficients, but I don’t really > understand how to compute the code. > So, any help from you would be highly appreciated. > > Best, > S > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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. [[alternative HTML version deleted]] ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.