Package: referenceIntervals 1.3.1

referenceIntervals: Reference Intervals

This is a collection of tools to allow the medical professional to calculate appropriate reference ranges (intervals) with confidence intervals around the limits for diagnostic purposes.

Authors:Daniel Finnegan

referenceIntervals_1.3.1.tar.gz
referenceIntervals_1.3.1.zip(r-4.5)referenceIntervals_1.3.1.zip(r-4.4)referenceIntervals_1.3.1.zip(r-4.3)
referenceIntervals_1.3.1.tgz(r-4.4-any)referenceIntervals_1.3.1.tgz(r-4.3-any)
referenceIntervals_1.3.1.tar.gz(r-4.5-noble)referenceIntervals_1.3.1.tar.gz(r-4.4-noble)
referenceIntervals_1.3.1.tgz(r-4.4-emscripten)referenceIntervals_1.3.1.tgz(r-4.3-emscripten)
referenceIntervals.pdf |referenceIntervals.html✨
referenceIntervals/json (API)

# Install 'referenceIntervals' in R:

install.packages('referenceIntervals', repos = c('https://digital-vet.r-universe.dev', 'https://cloud.r-project.org'))

Datasets:

nonparRanks - Table that dictate the ranks for the confidence intervals around the calculated reference interval.
set120 - Dataset containing 120 values
set20 - Small dataset containing 20 samples
set200 - Dataset containing 200 values
set50 - Dataset containing 50 values

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.06 score 1 stars 5 scripts 23k downloads 5 mentions 12 exports 11 dependencies

Last updated 8 months agofrom:2e98d04abf. Checks:OK: 7. Indexed: yes.

Target	Result	Date
Doc / Vignettes	OK	Oct 27 2024
R-4.5-win	OK	Oct 27 2024
R-4.5-linux	OK	Oct 27 2024
R-4.4-win	OK	Oct 27 2024
R-4.4-mac	OK	Oct 27 2024
R-4.3-win	OK	Oct 27 2024
R-4.3-mac	OK	Oct 27 2024

Exports:cook.outliers dixon.outliers horn.outliers nonparRI refLimit robust set120 set20 set200 set50 singleRefLimit vanderLoo.outliers

Dependencies:boot cachem digest extremevalues fastmap gWidgets2 gWidgets2tcltk MASS memoise outliers rlang

Citation

Readme and manuals

Help Manual

Help page	Topics
This package calculates reference intervals from a dataset using either parametric, non-parametric, or robust methods.	referenceIntervals-package referenceIntervals
Determines outliers using Cook's Distance	cook.outliers
Determines outliers using Dixon's Q Test method	dixon.outliers
Determines outliers using Horn's method and Tukey's interquartile fences on a Box-Cox transformation of the data.	horn.outliers
Table that dictate the ranks for the confidence intervals around the calculated reference interval.	nonparRanks
Determines the reference interval using non-parametric means	nonparRI
Overload of plot function to include the ability to plot the results of refLimit	plot.interval
Overload of print in order to concisely print the results of refLimit	print.interval
Overload of print in order to concisely print the results of refLimit	print.interval.sub
Calculates and returns reference and confidence intervals for a dataset	refLimit
Algorithm that implements the robust method for reference interval calculations	robust
Dataset containing 120 values	set120
Small dataset containing 20 samples	set20
Dataset containing 200 values	set200
Dataset containing 50 values	set50
This is the workhorse of the refLimit function	singleRefLimit
Mark van der Loo's outlier detection method in the extremevalues package	vanderLoo.outliers

Package: referenceIntervals 1.3.1

referenceIntervals: Reference Intervals

Citation

Readme and manuals

Help Manual

Usage by other packages (reverse dependencies)