Nonparametric Confidence Intervals for Quantiles

Based on Alan D. Hutson (1999) , "Calculating nonparametric confidence intervals for quantiles using fractional order statistics", Journal of Applied Statistics, 26:3, 343-353.


QuantileNPCI

The goal of QuantileNPCI is to calculate non-parametric confidence intervals for quantiles using fractional order statistics.

Installation

You can install the released version of QuantileNPCI from CRAN with:

install.packages("QuantileNPCI")

Example

This is a basic example which shows you how to calculate non-parametric confidence intervals for median, for the flood discharge data in Feather River with data included in the package:

library(QuantileNPCI)
quantCI(flood[flood$loc=="Feather", "discharge"], quant=0.5, alpha=0.05, method = "exact")

Reference manual

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install.packages("QuantileNPCI")

0.9.0 by Li Yan, 7 years ago


Browse source code at https://github.com/cran/QuantileNPCI


Authors: Nicholas Hutson [aut] , Alan Hutson [aut] , Li Yan [aut, cre]


Documentation:   PDF Manual  


GPL-3 license


Suggests dplyr, kableExtra, knitr, rmarkdown, testthat


See at CRAN