BIG difficulties in Using boot.ci (bot package)
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 <varinsacha at 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
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