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micompr  

Multivariate Independent Comparison of Observations
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("micompr", "1.1.4")



Attach the package and use:
library("micompr")
Maintained by
Nuno Fachada
[Scholar Profile | Author Map]
First Published: 2016-05-08
Latest Update: 2023-08-19
Description:
A procedure for comparing multivariate samples associated with different groups. It 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. The procedure is independent of the distributional properties of samples and automatically selects features that best explain their differences, avoiding manual selection of specific points or summary statistics. It is appropriate for comparing samples of time series, images, spectrometric measures or similar multivariate observations. This package is described in Fachada et al. (2016) .
How to cite:
Nuno Fachada (2016). micompr: Multivariate Independent Comparison of Observations. R package version 1.1.4, https://cran.r-project.org/web/packages/micompr. Accessed 07 Apr. 2025.
Previous versions and publish date:
1.0.0 (2016-05-08 18:27), 1.0.1 (2016-08-04 21:56), 1.0.2 (2017-06-24 23:31), 1.1.0 (2018-03-09 17:36), 1.1.1 (2021-07-08 11:40), 1.1.2 (2022-05-24 12:10), 1.1.3 (2023-02-12 22:32)
Other packages that cited micompr R package
View micompr citation profile
Other R packages that micompr depends, imports, suggests or enhances
Complete documentation for micompr
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