Package: QQreflimits 1.0.3

QQreflimits: Reference Limits using QQ Methodology

A collection of routines for finding reference limits using, where appropriate, QQ methodology. All use a data vector X of cases from the reference population. The default is to get the central 95% reference range of the population, namely the 2.5 and 97.5 percentile, with optional adjustment of the range. Along with the reference limits, we want confidence intervals which, for historical reasons, are typically at 90% confidence. A full analysis provides six numbers: – the upper and the lower reference limits, and - each of their confidence intervals. For application details, see Hawkins and Esquivel (2024) <doi:10.1093/jalm/jfad109>.

Authors:Douglas M. Hawkins [aut], Jessica J. Kraker [aut, cre]

QQreflimits_1.0.3.tar.gz
QQreflimits_1.0.3.zip(r-4.7)QQreflimits_1.0.3.zip(r-4.6)QQreflimits_1.0.3.zip(r-4.5)
QQreflimits_1.0.3.tgz(r-4.6-any)QQreflimits_1.0.3.tgz(r-4.5-any)
QQreflimits_1.0.3.tar.gz(r-4.7-any)QQreflimits_1.0.3.tar.gz(r-4.6-any)
QQreflimits_1.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
QQreflimits/json (API)
NEWS

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

Bug tracker:https://github.com/jjkraker/qqreflimits/issues

On CRAN:

Conda:

3.18 score 106 downloads 5 exports 0 dependencies

Last updated from:552d0731c3. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK107
source / vignettesOK136
linux-release-x86_64OK99
macos-release-arm64OK145
macos-oldrel-arm64OK164
windows-develOK127
windows-releaseOK69
windows-oldrelOK79
wasm-releaseOK94

Exports:BC_limitsBCr_Pvalnonp_limitspara_limitsQQnorm

Dependencies: