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.
|Depends:||R (≥ 3.1.0), multcomp, depthTools, fda.usc, MASS|
|Author:||Miguel Flores [aut, cre], Salvador Naya [ctb], Javier Tarrio-Saavedra [ctb], Ruben Fernandez [ctb], Rubi Arias [ctb]|
|Maintainer:||Miguel Flores <ma.flores at outlook.com>|
|License:||GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]|
|CRAN checks:||ILS results|
|Windows binaries:||r-devel: ILS_0.1.0.zip, r-release: ILS_0.1.0.zip, r-oldrel: ILS_0.1.0.zip|
|OS X El Capitan binaries:||r-release: ILS_0.1.0.tgz|
|OS X Mavericks binaries:||r-oldrel: ILS_0.1.0.tgz|
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