Package: quantileCI 0.1

quantileCI: Confidence Intervals for Quantiles

Computes exact and interpolated confidence intervals for population quantiles based on a single independent and identically distributed sample. The package implements different methods for computing the confidence intervals and also provides functionality to check the coverage of the methods.

Authors:Michael Höhle [aut, cre]

quantileCI_0.1.tar.gz
quantileCI_0.1.zip(r-4.7)quantileCI_0.1.zip(r-4.6)quantileCI_0.1.zip(r-4.5)
quantileCI_0.1.tgz(r-4.6-any)quantileCI_0.1.tgz(r-4.5-any)
quantileCI_0.1.tar.gz(r-4.7-any)quantileCI_0.1.tar.gz(r-4.6-any)
quantileCI_0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
quantileCI/json (API)

# Install 'quantileCI' in R:
install.packages('quantileCI', repos = c('https://mhoehle.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/hoehleatsu/quantileci/issues

Datasets:
  • flint - Water Monitoring Sample from Flint, Michigan, 2015

On CRAN:

Conda:

3.56 score 4 stars 18 scripts 5 exports 3 dependencies

Last updated from:0057ad82ca. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK130
source / vignettesOK200
linux-release-x86_64OK107
macos-release-arm64OK79
macos-oldrel-arm64OK125
windows-develOK81
windows-releaseOK83
windows-oldrelOK86
wasm-releaseOK88

Exports:median_confint_hsqci_coverage_one_simquantile_confint_bootquantile_confint_exactquantile_confint_nyblom

Dependencies:bootRcppunits

get-started

Rendered fromget-started.Rmdusingknitr::rmarkdownon May 22 2026.

Last update: 2021-08-25
Started: 2021-08-25