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ILS  

Interlaboratory Study
View on CRAN: Click here


Download and install ILS package within the R console
Install from CRAN:
install.packages("ILS")

Install from Github:
library("remotes")
install_github("cran/ILS")

Install by package version:
library("remotes")
install_version("ILS", "0.3")



Attach the package and use:
library("ILS")
Maintained by
Miguel Flores
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-05-23
Latest Update: 2023-01-15
Description:
It performs interlaboratory studies (ILS) to detect those laboratories that provide non-consistent results when comparing to others. It permits to work simultaneously with various testing materials, from standard univariate, and functional data analysis (FDA) perspectives. The univariate approach based on ASTM E691-08 consist of estimating the Mandel's h and k statistics to identify those laboratories that provide more significant different results, testing also the presence of outliers by Cochran and Grubbs tests, Analysis of variance (ANOVA) techniques are provided (F and Tuckey tests) to test differences in means corresponding to different laboratories per each material. Taking into account the functional nature of data retrieved in analytical chemistry, applied physics and engineering (spectra, thermograms, etc.). ILS package provides a FDA approach for finding the Mandel's k and h statistics distribution by smoothing bootstrap resampling.
How to cite:
Miguel Flores (2016). ILS: Interlaboratory Study. R package version 0.3, https://cran.r-project.org/web/packages/ILS. Accessed 12 Oct. 2026.
Previous versions and publish date:
0.1.0 (2016-05-23 13:04), 0.2 (2018-03-06 22:42), (2026-07-09 08:07)
Other packages that cited ILS R package
View ILS citation profile
Other R packages that ILS depends, imports, suggests or enhances
Complete documentation for ILS
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