Package: confintr 1.0.3

confintr: Confidence Intervals

Calculates classic and/or bootstrap confidence intervals for many parameters such as the population mean, variance, interquartile range (IQR), median absolute deviation (MAD), skewness, kurtosis, Cramer's V, odds ratio, R-squared, quantiles (incl. median), proportions, different types of correlation measures, difference in means, quantiles and medians. Many of the classic confidence intervals are described in Smithson, M. (2003, ISBN: 978-0761924999). Bootstrap confidence intervals are calculated with the R package 'boot'. Both one- and two-sided intervals are supported.

Authors:Michael Mayer [aut, cre]

confintr_1.0.3.tar.gz
confintr_1.0.3.zip(r-4.7)confintr_1.0.3.zip(r-4.6)confintr_1.0.3.zip(r-4.5)
confintr_1.0.3.tgz(r-4.6-any)confintr_1.0.3.tgz(r-4.5-any)
confintr_1.0.3.tar.gz(r-4.7-any)confintr_1.0.3.tar.gz(r-4.6-any)
confintr_1.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
confintr/json (API)
NEWS

# Install 'confintr' in R:
install.packages('confintr', repos = c('https://mayer79.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mayer79/confintr/issues

On CRAN:

Conda:

bootstrapconfidence-intervalsstatistical-inferencestatistics

8.85 score 19 stars 21 packages 144 scripts 8.2k downloads 29 exports 1 dependencies

Last updated from:c40611f66e. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK174
source / vignettesOK186
linux-release-x86_64OK133
macos-release-arm64OK109
macos-oldrel-arm64OK125
windows-develOK78
windows-releaseOK93
windows-oldrelOK176
wasm-releaseOK104

Exports:ci_chisq_ncpci_corci_cramersvci_f_ncpci_IQRci_kurtosisci_madci_meanci_mean_diffci_medianci_median_diffci_oddsratioci_proportionci_quantileci_quantile_diffci_rsquaredci_sdci_skewnessci_varcramersvis.cintkurtosismomentoddsratiose_meanse_mean_diffse_proportionse_varskewness

Dependencies:boot

Using 'confintr'

Rendered fromconfintr.Rmdusingknitr::rmarkdownon Jun 04 2026.

Last update: 2023-05-26
Started: 2020-05-21