quantile_confint_boot: Confidence interval method for a given quantile based on the...
In hoehleatsu/quantileCI: Confidence Intervals for Quantiles

Confidence interval method for a given quantile based on the basic bootstrap and using the percentile method.

1	quantile_confint_boot(x, p, conf.level = 0.95, R = 999, type = 7)

`x`	vector of observations
`p`	quantile of interest
`conf.level`	A conf.level * 100% confidence interval is computed
`R`	number of replications to use in the bootstrap (Default: 999)
`type`	Type of empirical quantile estimation procedure, @seealso the `quantile` function.

Basic bootstrap with the confidence interval computed based on the percentile method.

A vector of length two containing the lower and upper limit of the two-sided confidence interval.

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set.seed(123)
x <- rnorm(25)
quantile_confint_boot(x=x, p=0.8, conf.level=0.95, R=999)

hoehleatsu/quantileCI documentation built on Aug. 29, 2021, 4:33 a.m.

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