qrBoot | R Documentation |
qrBoot
provides a simple bootstrapping method for estimating the parameters of a cdf quantile regression model.
qrBoot(object, rn, f = coef, R = 500, ci = 0.95)
object |
The fitted cdfqr model object |
rn |
The sample size of bootstrap samples |
f |
A function whose one argument is the name of a cdfqr object that will be applied to the updated cdfqr object to compute the statistics of interest. The default is coef. |
R |
Number of bootstrap samples. |
ci |
The confidence interval level to obtain the bootstrap confidence intervals |
A matrix that includes the original statistics, bootstrap means, and bootstrap confidence intervals
data(cdfqrExampleData)
fit <- cdfquantreg(crc99 ~ vert | confl, 't2', 't2', data = JurorData)
qrBoot(fit, rn = 50, R = 50)
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