| Type: | Package | 
| Title: | Nonparametric Confidence Intervals for Quantiles | 
| Version: | 0.9.0 | 
| Maintainer: | Li Yan <li.yan@roswellpark.org> | 
| Description: | Based on Alan D. Hutson (1999) <doi:10.1080/02664769922458>, "Calculating nonparametric confidence intervals for quantiles using fractional order statistics", Journal of Applied Statistics, 26:3, 343-353. | 
| License: | GPL-3 | 
| Encoding: | UTF-8 | 
| LazyData: | true | 
| Suggests: | dplyr, kableExtra, knitr, rmarkdown, testthat (≥ 2.1.0) | 
| Depends: | R (≥ 2.10) | 
| RoxygenNote: | 6.1.1 | 
| VignetteBuilder: | knitr | 
| NeedsCompilation: | no | 
| Packaged: | 2019-09-05 15:04:30 UTC; liyan | 
| Author: | Nicholas Hutson [aut], Alan Hutson [aut], Li Yan [aut, cre] | 
| Repository: | CRAN | 
| Date/Publication: | 2019-09-05 15:20:02 UTC | 
Calculate lower and upper CI of a given quantile using exact method, based on beta distribution
Description
Calculate lower and upper CI of a given quantile using exact method, based on beta distribution
Usage
exactBeta(n, q, alpha)
Arguments
n | 
 sample size  | 
q | 
 quantile  | 
alpha | 
 desired significance level  | 
Value
a list of the lower and upper confidence limit of the quantiles.Values are between [0,1]
u1 | 
 lower confidence limit of the quantile  | 
u2 | 
 upper confidence limit of the quantile  | 
Examples
QuantileNPCI:::exactBeta(25, 0.5, 0.05)
The flood rate of Feature River and Blackstone River.
Description
A dataset containing the flood rate data, as presented in Hutson 1999 paper. Original source: Pericchi and Rodreiguez-Iturbe (1995)
Usage
flood
Format
A data frame with 96 rows and 3 variables:
- loc
 River name
- year
 year of the record
- discharge
 flood discharge rate
quantCI
Description
Calculate nonparametric confidence intervals for quantiles using fractional order statistics,
Usage
quantCI(x, q, alpha, method)
Arguments
x | 
 vector of data  | 
q | 
 the quantile  | 
alpha | 
 the significance level  | 
method | 
 the method used for calculate the confidence interval. Options are "exact" or "approximate".  | 
Value
returns a list of 5 values:
u1 | 
 the lower confidence limit of the quantile  | 
u2 | 
 the upper confidence limit of the quantile  | 
lower.ci | 
 the estimated x value at u1  | 
qx | 
 the estimate x value of at the quantile q  | 
upper.ci | 
 the estimated x value at u2  | 
Author(s)
Nicholas Hutson
Examples
x <- c(3.5,2.4,2.1,1.3,1.2,2.2,2.6,4.2)
quantCI(x, q=0.5, alpha=0.05, method = "exact")