The R Journal: article published in 2016, volume 8:2

micompr: An R Package for Multivariate Independent Comparison of Observations
Nuno Fachada, João Rodrigues, Vitor V. Lopes, Rui C. Martins and Agostinho C. Rosa , The R Journal (2016) 8:2, pages 405-420.

Abstract The R package micompr implements a procedure for assessing if two or more multivariate samples are drawn from the same distribution. The procedure uses principal component analysis to convert multivariate observations into a set of linearly uncorrelated statistical measures, which are then compared using a number of statistical methods. This technique is independent of the distributional properties of samples and automatically selects features that best explain their differences. The procedure is appropriate for comparing samples of time series, images, spectrometric measures or similar high-dimension multivariate observations.

Received: 2016-05-10; online 2016-11-21
CRAN packages: micompr, vegan, Blossom, energy, crossmatch, cramer, ks, ChemoSpec, biotools, MVN, testthat, knitr, roxygen2, deseasonalize
CRAN Task Views implied by cited CRAN packages: Multivariate, ChemPhys, Environmetrics, Phylogenetics, Psychometrics, ReproducibleResearch, Spatial, TimeSeries

This article is licensed under a Creative Commons Attribution 3.0 Unported license .

@article{RJ-2016-055,
  author = {Nuno Fachada and João Rodrigues and Vitor V. Lopes and Rui
          C. Martins and Agostinho C. Rosa},
  title = {{micompr: An R Package for Multivariate Independent
          Comparison of Observations}},
  year = {2016},
  journal = {{The R Journal}},
  doi = {10.32614/RJ-2016-055},
  url = {https://doi.org/10.32614/RJ-2016-055},
  pages = {405--420},
  volume = {8},
  number = {2}
}