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提取 R 中的稳健标准误差后如何获得置信区间?

[英]How to get confidence intervals after extracting robust standard errors in R?

First, i run a regression model.首先,我运行回归 model。 Then, i extract robust standard errors.然后,我提取稳健的标准误差。 However, i am not sure how to extract the confidence interval afterwards, coeftest() seems to include only the standard errors.但是,我不确定之后如何提取置信区间, coeftest()似乎只包括标准错误。 Is there a way to do it automatically?有没有办法自动完成?

Here is the reproducible data and code:这是可重现的数据和代码:

library(plm)
library(lmtest)
library(broom)

data(Cigar)   
model<- plm(price ~ sales + cpi, index=c("state", "year"), model = 'within', 
                data = Cigar)
#Extract the robust standard errors    
plot_coeftest = tidy(coeftest(model))

as @deschen proposed, this is the solution:正如@deschen 建议的那样,这是解决方案:

plot_coeftest= broom::tidy(lmtest::coeftest(model), conf.int = TRUE)

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